GOSTSec
/
ccminer
mirror of https://github.com/GOSTSec/ccminer
1
0
Fork 0
Code Issues Releases Wiki Activity
Browse Source

heavy: add error checks, fix strict aliasing and linux 

The core problem was the cuda hefty Thread per block set to high
but took me several hours to find that...

btw... +25% in heavy 12500 with 256 threads per block... vs 128 & 512
if max reg count is set to 80...
2upstream
Tanguy Pruvot 10 years ago
parent
1032f191bf
commit
1b65cd05cc
20 changed files with 339 additions and 381 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 3
      Makefile.am
  2. 10
      blake32.cu
  3. 10
      ccminer.vcxproj
  4. 24
      ccminer.vcxproj.filters
  5. 46
      heavy/cuda_blake512.cu
  6. 7
      heavy/cuda_blake512.h
  7. 34
      heavy/cuda_combine.cu
  8. 7
      heavy/cuda_combine.h
  9. 96
      heavy/cuda_groestl512.cu
  10. 9
      heavy/cuda_groestl512.h
  11. 139
      heavy/cuda_hefty1.cu
  12. 8
      heavy/cuda_hefty1.h
  13. 57
      heavy/cuda_keccak512.cu
  14. 9
      heavy/cuda_keccak512.h
  15. 51
      heavy/cuda_sha256.cu
  16. 8
      heavy/cuda_sha256.h
  17. 152
      heavy/heavy.cu
  18. 30
      heavy/heavy.h
  19. 2
      stats.cpp
  20. 18
      util.cpp

3
Makefile.am
Unescape View File

@ -80,6 +80,9 @@ nvcc_FLAGS += $(JANSSON_INCLUDES) --ptxas-options="-v" @@ -80,6 +80,9 @@ nvcc_FLAGS += $(JANSSON_INCLUDES) --ptxas-options="-v"
blake32.o: blake32.cu
$(NVCC) $(nvcc_FLAGS) --maxrregcount=64 -o $@ -c $<
heavy/cuda_hefty1.o: heavy/cuda_hefty1.cu
$(NVCC) $(nvcc_FLAGS) --maxrregcount=80 -o $@ -c $<
keccak/cuda_keccak256.o: keccak/cuda_keccak256.cu
$(NVCC) $(nvcc_FLAGS) --maxrregcount=92 -o $@ -c $<

10
blake32.cu
Unescape View File

@ -303,7 +303,11 @@ void blake256_gpu_hash_16(const uint32_t threads, const uint32_t startNonce, uin @@ -303,7 +303,11 @@ void blake256_gpu_hash_16(const uint32_t threads, const uint32_t startNonce, uin
ending[3] = nonce; /* our tested value */
blake256_compress(h, ending, 640, rounds);
#if 0
if (trace) {
printf("blake hash[6][7]: %08x %08x\n", h[6], h[7]);
}
#endif
//if (h[7] == 0 && high64 <= highTarget) {
if (h[7] == 0) {
#if NBN == 2
@ -318,14 +322,14 @@ void blake256_gpu_hash_16(const uint32_t threads, const uint32_t startNonce, uin @@ -318,14 +322,14 @@ void blake256_gpu_hash_16(const uint32_t threads, const uint32_t startNonce, uin
#else
resNonce[0] = nonce;
#endif
if (trace) {
#ifdef _DEBUG
if (trace) {
uint64_t high64 = ((uint64_t*)h)[3];
printf("gpu: %16llx\n", high64);
printf("gpu: %08x.%08x\n", h[7], h[6]);
printf("tgt: %16llx\n", highTarget);
#endif
}
#endif
}
}
}

10
ccminer.vcxproj
Unescape View File

@ -173,7 +173,7 @@ @@ -173,7 +173,7 @@
<MaxRegCount>80</MaxRegCount>
<PtxAsOptionV>true</PtxAsOptionV>
<Keep>false</Keep>
<CodeGeneration>compute_30,sm_30;compute_50,sm_50</CodeGeneration>
<CodeGeneration>compute_50,sm_50</CodeGeneration>
<AdditionalOptions>--ptxas-options="-O2" %(AdditionalOptions)</AdditionalOptions>
<Defines>
</Defines>
@ -306,12 +306,7 @@ @@ -306,12 +306,7 @@
<ClInclude Include="cuda_groestlcoin.h" />
<ClInclude Include="cuda_helper.h" />
<ClInclude Include="elist.h" />
<ClInclude Include="heavy\cuda_blake512.h" />
<ClInclude Include="heavy\cuda_combine.h" />
<ClInclude Include="heavy\cuda_groestl512.h" />
<ClInclude Include="heavy\cuda_hefty1.h" />
<ClInclude Include="heavy\cuda_keccak512.h" />
<ClInclude Include="heavy\cuda_sha256.h" />
<ClInclude Include="heavy\heavy.h" />
<ClInclude Include="hefty1.h" />
<ClInclude Include="miner.h" />
<ClInclude Include="nvml.h" />
@ -358,6 +353,7 @@ @@ -358,6 +353,7 @@
<CudaCompile Include="heavy\cuda_groestl512.cu">
</CudaCompile>
<CudaCompile Include="heavy\cuda_hefty1.cu">
<MaxRegCount>80</MaxRegCount>
</CudaCompile>
<CudaCompile Include="heavy\cuda_keccak512.cu">
</CudaCompile>

24
ccminer.vcxproj.filters
Unescape View File

@ -43,9 +43,6 @@ @@ -43,9 +43,6 @@
<Filter Include="Source Files\CUDA\heavy">
<UniqueIdentifier>{c3222908-22ba-4586-a637-6363f455b06d}</UniqueIdentifier>
</Filter>
<Filter Include="Header Files\CUDA\heavy">
<UniqueIdentifier>{3281db48-f394-49ea-a1ef-6ebd09828d50}</UniqueIdentifier>
</Filter>
<Filter Include="Source Files\CUDA\qubit">
<UniqueIdentifier>{f3ed23a2-8ce7-41a5-b051-6da56047dc35}</UniqueIdentifier>
</Filter>
@ -293,23 +290,8 @@ @@ -293,23 +290,8 @@
<ClInclude Include="sph\sph_types.h">
<Filter>Header Files\sph</Filter>
</ClInclude>
<ClInclude Include="heavy\cuda_blake512.h">
<Filter>Header Files\CUDA\heavy</Filter>
</ClInclude>
<ClInclude Include="heavy\cuda_combine.h">
<Filter>Header Files\CUDA\heavy</Filter>
</ClInclude>
<ClInclude Include="heavy\cuda_groestl512.h">
<Filter>Header Files\CUDA\heavy</Filter>
</ClInclude>
<ClInclude Include="heavy\cuda_hefty1.h">
<Filter>Header Files\CUDA\heavy</Filter>
</ClInclude>
<ClInclude Include="heavy\cuda_keccak512.h">
<Filter>Header Files\CUDA\heavy</Filter>
</ClInclude>
<ClInclude Include="heavy\cuda_sha256.h">
<Filter>Header Files\CUDA\heavy</Filter>
<ClInclude Include="heavy\heavy.h">
<Filter>Header Files\CUDA</Filter>
</ClInclude>
<ClInclude Include="cuda_helper.h">
<Filter>Header Files\CUDA</Filter>
@ -539,4 +521,4 @@ @@ -539,4 +521,4 @@
<Filter>Source Files\CUDA\x11</Filter>
</CudaCompile>
</ItemGroup>
</Project>
</Project>

46
heavy/cuda_blake512.cu
Unescape View File

@ -3,11 +3,11 @@ @@ -3,11 +3,11 @@
#include "cuda_helper.h"
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *d_heftyHashes[8];
extern uint32_t *d_nonceVector[8];
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *heavy_heftyHashes[8];
extern uint32_t *heavy_nonceVector[8];
// globaler Speicher für unsere Ergebnisse
// globaler Speicher für unsere Ergebnisse
uint32_t *d_hash5output[8];
// die Message (112 bzw. 116 Bytes) mit Padding zur Berechnung auf der GPU
@ -53,13 +53,13 @@ __constant__ uint64_t c_u512[16]; @@ -53,13 +53,13 @@ __constant__ uint64_t c_u512[16];
const uint64_t host_u512[16] =
{
0x243f6a8885a308d3ULL, 0x13198a2e03707344ULL,
0x243f6a8885a308d3ULL, 0x13198a2e03707344ULL,
0xa4093822299f31d0ULL, 0x082efa98ec4e6c89ULL,
0x452821e638d01377ULL, 0xbe5466cf34e90c6cULL,
0x452821e638d01377ULL, 0xbe5466cf34e90c6cULL,
0xc0ac29b7c97c50ddULL, 0x3f84d5b5b5470917ULL,
0x9216d5d98979fb1bULL, 0xd1310ba698dfb5acULL,
0x9216d5d98979fb1bULL, 0xd1310ba698dfb5acULL,
0x2ffd72dbd01adfb7ULL, 0xb8e1afed6a267e96ULL,
0xba7c9045f12c7f99ULL, 0x24a19947b3916cf7ULL,
0xba7c9045f12c7f99ULL, 0x24a19947b3916cf7ULL,
0x0801f2e2858efc16ULL, 0x636920d871574e69ULL
};
@ -123,7 +123,7 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t @@ -123,7 +123,7 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// bestimme den aktuellen Zähler
// bestimme den aktuellen Zähler
//uint32_t nounce = startNounce + thread;
uint32_t nounce = nonceVector[thread];
@ -141,10 +141,10 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t @@ -141,10 +141,10 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t
h[6] = 0x1f83d9abfb41bd6bULL;
h[7] = 0x5be0cd19137e2179ULL;
// 128 Byte für die Message
// 128 Byte für die Message
uint64_t buf[16];
// Message für die erste Runde in Register holen
// Message für die erste Runde in Register holen
#pragma unroll 16
for (int i=0; i < 16; ++i) buf[i] = c_PaddedMessage[i];
@ -154,7 +154,7 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t @@ -154,7 +154,7 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t
uint32_t *hefty = heftyHashes + 8 * hashPosition;
if (BLOCKSIZE == 84) {
// den thread-spezifischen Hefty1 hash einsetzen
// aufwändig, weil das nicht mit uint64_t Wörtern aligned ist.
// aufwändig, weil das nicht mit uint64_t Wörtern aligned ist.
buf[10] = REPLACE_HIWORD(buf[10], hefty[0]);
buf[11] = REPLACE_LOWORD(buf[11], hefty[1]);
buf[11] = REPLACE_HIWORD(buf[11], hefty[2]);
@ -173,14 +173,14 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t @@ -173,14 +173,14 @@ template <int BLOCKSIZE> __global__ void blake512_gpu_hash(int threads, uint32_t
// erste Runde
blake512_compress<BLOCKSIZE>( h, buf, 0, c_sigma, c_u512 );
// zweite Runde
#pragma unroll 15
for (int i=0; i < 15; ++i) buf[i] = c_SecondRound[i];
buf[15] = SWAP64(8*(BLOCKSIZE+32)); // Blocksize in Bits einsetzen
blake512_compress<BLOCKSIZE>( h, buf, 1, c_sigma, c_u512 );
// Hash rauslassen
uint64_t *outHash = (uint64_t *)outputHash + 8 * hashPosition;
#pragma unroll 8
@ -210,8 +210,8 @@ __host__ void blake512_cpu_init(int thr_id, int threads) @@ -210,8 +210,8 @@ __host__ void blake512_cpu_init(int thr_id, int threads)
sizeof(host_SecondRound),
0, cudaMemcpyHostToDevice);
// Speicher für alle Ergebnisse belegen
cudaMalloc(&d_hash5output[thr_id], 16 * sizeof(uint32_t) * threads);
// Speicher für alle Ergebnisse belegen
CUDA_SAFE_CALL(cudaMalloc(&d_hash5output[thr_id], 16 * sizeof(uint32_t) * threads));
}
static int BLOCKSIZE = 84;
@ -222,14 +222,14 @@ __host__ void blake512_cpu_setBlock(void *pdata, int len) @@ -222,14 +222,14 @@ __host__ void blake512_cpu_setBlock(void *pdata, int len)
{
unsigned char PaddedMessage[128];
if (len == 84) {
// Message mit Padding für erste Runde bereitstellen
// Message mit Padding für erste Runde bereitstellen
memcpy(PaddedMessage, pdata, 84);
memset(PaddedMessage+84, 0, 32); // leeres Hefty Hash einfüllen
memset(PaddedMessage+84, 0, 32); // leeres Hefty Hash einfüllen
memset(PaddedMessage+116, 0, 12);
PaddedMessage[116] = 0x80;
} else if (len == 80) {
memcpy(PaddedMessage, pdata, 80);
memset(PaddedMessage+80, 0, 32); // leeres Hefty Hash einfüllen
memset(PaddedMessage+80, 0, 32); // leeres Hefty Hash einfüllen
memset(PaddedMessage+112, 0, 16);
PaddedMessage[112] = 0x80;
}
@ -246,11 +246,11 @@ __host__ void blake512_cpu_hash(int thr_id, int threads, uint32_t startNounce) @@ -246,11 +246,11 @@ __host__ void blake512_cpu_hash(int thr_id, int threads, uint32_t startNounce)
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
if (BLOCKSIZE == 80)
blake512_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash5output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
blake512_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash5output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
else if (BLOCKSIZE == 84)
blake512_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash5output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
blake512_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash5output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
}

7
heavy/cuda_blake512.h
Unescape View File

@ -1,7 +0,0 @@ @@ -1,7 +0,0 @@
#ifndef _CUDA_BLAKE512_H
#define _CUDA_BLAKE512_H
void blake512_cpu_init(int thr_id, int threads);
void blake512_cpu_setBlock(void *pdata, int len);
void blake512_cpu_hash(int thr_id, int threads, uint32_t startNounce);
#endif

34
heavy/cuda_combine.cu
Unescape View File

@ -1,16 +1,19 @@ @@ -1,16 +1,19 @@
#include "cuda_helper.h"
#include <stdio.h>
// globaler Speicher für unsere Ergebnisse
uint32_t *d_hashoutput[8];
#include "cuda_helper.h"
// globaler Speicher für unsere Ergebnisse
static uint32_t *d_hashoutput[8];
extern uint32_t *d_hash2output[8];
extern uint32_t *d_hash3output[8];
extern uint32_t *d_hash4output[8];
extern uint32_t *d_hash5output[8];
extern uint32_t *d_nonceVector[8];
extern uint32_t *heavy_nonceVector[8];
/* Combines top 64-bits from each hash into a single hash */
static void __device__ combine_hashes(uint32_t *out, uint32_t *hash1, uint32_t *hash2, uint32_t *hash3, uint32_t *hash4)
__device__
static void combine_hashes(uint32_t *out, uint32_t *hash1, uint32_t *hash2, uint32_t *hash3, uint32_t *hash4)
{
uint32_t lout[8]; // Combining in Registern machen
@ -98,7 +101,8 @@ static void __device__ combine_hashes(uint32_t *out, uint32_t *hash1, uint32_t * @@ -98,7 +101,8 @@ static void __device__ combine_hashes(uint32_t *out, uint32_t *hash1, uint32_t *
out[i] = lout[i];
}
__global__ void combine_gpu_hash(int threads, uint32_t startNounce, uint32_t *out, uint32_t *hash2, uint32_t *hash3, uint32_t *hash4, uint32_t *hash5, uint32_t *nonceVector)
__global__
void combine_gpu_hash(int threads, uint32_t startNounce, uint32_t *out, uint32_t *hash2, uint32_t *hash3, uint32_t *hash4, uint32_t *hash5, uint32_t *nonceVector)
{
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
@ -116,13 +120,14 @@ __global__ void combine_gpu_hash(int threads, uint32_t startNounce, uint32_t *ou @@ -116,13 +120,14 @@ __global__ void combine_gpu_hash(int threads, uint32_t startNounce, uint32_t *ou
}
}
// Setup-Funktionen
__host__ void combine_cpu_init(int thr_id, int threads)
__host__
void combine_cpu_init(int thr_id, int threads)
{
// Speicher für alle Ergebnisse belegen
cudaMalloc(&d_hashoutput[thr_id], 8 * sizeof(uint32_t) * threads);
// Speicher für alle Ergebnisse belegen
CUDA_SAFE_CALL(cudaMalloc(&d_hashoutput[thr_id], 8 * sizeof(uint32_t) * threads));
}
__host__
void combine_cpu_hash(int thr_id, int threads, uint32_t startNounce, uint32_t *hash)
{
// diese Kopien sind optional, da die Hashes jetzt bereits auf der GPU liegen sollten
@ -133,11 +138,8 @@ void combine_cpu_hash(int thr_id, int threads, uint32_t startNounce, uint32_t *h @@ -133,11 +138,8 @@ void combine_cpu_hash(int thr_id, int threads, uint32_t startNounce, uint32_t *h
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
combine_gpu_hash<<<grid, block, shared_size>>>(threads, startNounce, d_hashoutput[thr_id], d_hash2output[thr_id], d_hash3output[thr_id], d_hash4output[thr_id], d_hash5output[thr_id], d_nonceVector[thr_id]);
combine_gpu_hash <<<grid, block>>> (threads, startNounce, d_hashoutput[thr_id], d_hash2output[thr_id], d_hash3output[thr_id], d_hash4output[thr_id], d_hash5output[thr_id], heavy_nonceVector[thr_id]);
// da die Hash Auswertung noch auf der CPU erfolgt, müssen die Ergebnisse auf jeden Fall zum Host kopiert werden
cudaMemcpy(hash, d_hashoutput[thr_id], 8 * sizeof(uint32_t) * threads, cudaMemcpyDeviceToHost);
// da die Hash Auswertung noch auf der CPU erfolgt, müssen die Ergebnisse auf jeden Fall zum Host kopiert werden
CUDA_SAFE_CALL(cudaMemcpy(hash, d_hashoutput[thr_id], 8 * sizeof(uint32_t) * threads, cudaMemcpyDeviceToHost));
}

7
heavy/cuda_combine.h
Unescape View File

@ -1,7 +0,0 @@ @@ -1,7 +0,0 @@
#ifndef _CUDA_COMBINE_H
#define _CUDA_COMBINE_H
void combine_cpu_init(int thr_id, int threads);
void combine_cpu_hash(int thr_id, int threads, uint32_t startNounce, uint32_t *hash);
#endif

96
heavy/cuda_groestl512.cu
Unescape View File

@ -3,11 +3,11 @@ @@ -3,11 +3,11 @@
#include "cuda_helper.h"
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *d_heftyHashes[8];
extern uint32_t *d_nonceVector[8];
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *heavy_heftyHashes[8];
extern uint32_t *heavy_nonceVector[8];
// globaler Speicher für unsere Ergebnisse
// globaler Speicher für unsere Ergebnisse
uint32_t *d_hash4output[8];
__constant__ uint32_t groestl_gpu_state[32];
@ -603,22 +603,22 @@ __device__ void groestl512_perm_P(uint32_t *a) @@ -603,22 +603,22 @@ __device__ void groestl512_perm_P(uint32_t *a)
#pragma unroll 16
for(int k=0;k<32;k+=2)
{
t[k + 0] = T0up( B32_0(a[k & 0x1f]) ) ^
T1up( B32_1(a[(k + 2) & 0x1f]) ) ^
T2up( B32_2(a[(k + 4) & 0x1f]) ) ^
T3up( B32_3(a[(k + 6) & 0x1f]) ) ^
T0dn( B32_0(a[(k + 9) & 0x1f]) ) ^
T1dn( B32_1(a[(k + 11) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 13) & 0x1f]) ) ^
t[k + 0] = T0up( B32_0(a[k & 0x1f]) ) ^
T1up( B32_1(a[(k + 2) & 0x1f]) ) ^
T2up( B32_2(a[(k + 4) & 0x1f]) ) ^
T3up( B32_3(a[(k + 6) & 0x1f]) ) ^
T0dn( B32_0(a[(k + 9) & 0x1f]) ) ^
T1dn( B32_1(a[(k + 11) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 13) & 0x1f]) ) ^
T3dn( B32_3(a[(k + 23) & 0x1f]) );
t[k + 1] = T0dn( B32_0(a[k & 0x1f]) ) ^
T1dn( B32_1(a[(k + 2) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 4) & 0x1f]) ) ^
T3dn( B32_3(a[(k + 6) & 0x1f]) ) ^
T0up( B32_0(a[(k + 9) & 0x1f]) ) ^
T1up( B32_1(a[(k + 11) & 0x1f]) ) ^
T2up( B32_2(a[(k + 13) & 0x1f]) ) ^
t[k + 1] = T0dn( B32_0(a[k & 0x1f]) ) ^
T1dn( B32_1(a[(k + 2) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 4) & 0x1f]) ) ^
T3dn( B32_3(a[(k + 6) & 0x1f]) ) ^
T0up( B32_0(a[(k + 9) & 0x1f]) ) ^
T1up( B32_1(a[(k + 11) & 0x1f]) ) ^
T2up( B32_2(a[(k + 13) & 0x1f]) ) ^
T3up( B32_3(a[(k + 23) & 0x1f]) );
}
#pragma unroll 32
@ -645,22 +645,22 @@ __device__ void groestl512_perm_Q(uint32_t *a) @@ -645,22 +645,22 @@ __device__ void groestl512_perm_Q(uint32_t *a)
#pragma unroll 16
for(int k=0;k<32;k+=2)
{
t[k + 0] = T0up( B32_0(a[(k + 2) & 0x1f]) ) ^
T1up( B32_1(a[(k + 6) & 0x1f]) ) ^
T2up( B32_2(a[(k + 10) & 0x1f]) ) ^
T3up( B32_3(a[(k + 22) & 0x1f]) ) ^
T0dn( B32_0(a[(k + 1) & 0x1f]) ) ^
T1dn( B32_1(a[(k + 5) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 9) & 0x1f]) ) ^
t[k + 0] = T0up( B32_0(a[(k + 2) & 0x1f]) ) ^
T1up( B32_1(a[(k + 6) & 0x1f]) ) ^
T2up( B32_2(a[(k + 10) & 0x1f]) ) ^
T3up( B32_3(a[(k + 22) & 0x1f]) ) ^
T0dn( B32_0(a[(k + 1) & 0x1f]) ) ^
T1dn( B32_1(a[(k + 5) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 9) & 0x1f]) ) ^
T3dn( B32_3(a[(k + 13) & 0x1f]) );
t[k + 1] = T0dn( B32_0(a[(k + 2) & 0x1f]) ) ^
T1dn( B32_1(a[(k + 6) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 10) & 0x1f]) ) ^
T3dn( B32_3(a[(k + 22) & 0x1f]) ) ^
T0up( B32_0(a[(k + 1) & 0x1f]) ) ^
T1up( B32_1(a[(k + 5) & 0x1f]) ) ^
T2up( B32_2(a[(k + 9) & 0x1f]) ) ^
t[k + 1] = T0dn( B32_0(a[(k + 2) & 0x1f]) ) ^
T1dn( B32_1(a[(k + 6) & 0x1f]) ) ^
T2dn( B32_2(a[(k + 10) & 0x1f]) ) ^
T3dn( B32_3(a[(k + 22) & 0x1f]) ) ^
T0up( B32_0(a[(k + 1) & 0x1f]) ) ^
T1up( B32_1(a[(k + 5) & 0x1f]) ) ^
T2up( B32_2(a[(k + 9) & 0x1f]) ) ^
T3up( B32_3(a[(k + 13) & 0x1f]) );
}
#pragma unroll 32
@ -677,7 +677,7 @@ template <int BLOCKSIZE> __global__ void groestl512_gpu_hash(int threads, uint32 @@ -677,7 +677,7 @@ template <int BLOCKSIZE> __global__ void groestl512_gpu_hash(int threads, uint32
uint32_t message[32];
uint32_t state[32];
// lese message ein & verknüpfe diese mit dem hash1 von hefty1
// lese message ein & verknüpfe diese mit dem hash1 von hefty1
// lese den state ein
#pragma unroll 32
@ -700,7 +700,7 @@ template <int BLOCKSIZE> __global__ void groestl512_gpu_hash(int threads, uint32 @@ -700,7 +700,7 @@ template <int BLOCKSIZE> __global__ void groestl512_gpu_hash(int threads, uint32
#pragma unroll 8
for (int k=0; k<8; ++k)
message[BLOCKSIZE/4+k] = heftyHash[k];
uint32_t g[32];
#pragma unroll 32
for(int u=0;u<32;u++)
@ -709,7 +709,7 @@ template <int BLOCKSIZE> __global__ void groestl512_gpu_hash(int threads, uint32 @@ -709,7 +709,7 @@ template <int BLOCKSIZE> __global__ void groestl512_gpu_hash(int threads, uint32
// Perm
groestl512_perm_P(g);
groestl512_perm_Q(message);
#pragma unroll 32
for(int u=0;u<32;u++)
{
@ -753,7 +753,7 @@ __host__ void groestl512_cpu_init(int thr_id, int threads) @@ -753,7 +753,7 @@ __host__ void groestl512_cpu_init(int thr_id, int threads)
texDef(t3up, d_T3up, T3up_cpu, sizeof(uint32_t)*256);
texDef(t3dn, d_T3dn, T3dn_cpu, sizeof(uint32_t)*256);
// Speicher für alle Ergebnisse belegen
// Speicher für alle Ergebnisse belegen
cudaMalloc(&d_hash4output[thr_id], 16 * sizeof(uint32_t) * threads);
}
@ -778,31 +778,27 @@ __host__ void groestl512_cpu_setBlock(void *data, int len) @@ -778,31 +778,27 @@ __host__ void groestl512_cpu_setBlock(void *data, int len)
msgBlock[28] = 0x80;
msgBlock[31] = 0x01000000;
}
// groestl512 braucht hierfür keinen CPU-Code (die einzige Runde wird
// auf der GPU ausgeführt)
// groestl512 braucht hierfür keinen CPU-Code (die einzige Runde wird
// auf der GPU ausgeführt)
// setze register
// setze register
uint32_t groestl_state_init[32];
memset(groestl_state_init, 0, sizeof(uint32_t) * 32);
groestl_state_init[31] = 0x20000;
// state speichern
cudaMemcpyToSymbol( groestl_gpu_state,
groestl_state_init,
128);
cudaMemcpyToSymbol(groestl_gpu_state, groestl_state_init, 128);
// Blockheader setzen (korrekte Nonce und Hefty Hash fehlen da drin noch)
cudaMemcpyToSymbol( groestl_gpu_msg,
msgBlock,
128);
cudaMemcpyToSymbol(groestl_gpu_msg, msgBlock, 128);
BLOCKSIZE = len;
}
__host__ void groestl512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy)
{
// Hefty1 Hashes kopieren (eigentlich nur zum debuggen)
if (copy)
cudaMemcpy( d_heftyHashes[thr_id], heftyHashes, 8 * sizeof(uint32_t) * threads, cudaMemcpyHostToDevice );
if (copy)
CUDA_SAFE_CALL(cudaMemcpy(heavy_heftyHashes[thr_id], heftyHashes, 8 * sizeof(uint32_t) * threads, cudaMemcpyHostToDevice));
}
__host__ void groestl512_cpu_hash(int thr_id, int threads, uint32_t startNounce)
@ -813,11 +809,11 @@ __host__ void groestl512_cpu_hash(int thr_id, int threads, uint32_t startNounce) @@ -813,11 +809,11 @@ __host__ void groestl512_cpu_hash(int thr_id, int threads, uint32_t startNounce)
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
if (BLOCKSIZE == 84)
groestl512_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash4output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
groestl512_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash4output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
else if (BLOCKSIZE == 80)
groestl512_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash4output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
groestl512_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash4output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
}

9
heavy/cuda_groestl512.h
Unescape View File

@ -1,9 +0,0 @@ @@ -1,9 +0,0 @@
#ifndef _CUDA_GROESTL512_H
#define _CUDA_GROESTL512_H
void groestl512_cpu_init(int thr_id, int threads);
void groestl512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy);
void groestl512_cpu_setBlock(void *data, int len);
void groestl512_cpu_hash(int thr_id, int threads, uint32_t startNounce);
#endif

139
heavy/cuda_hefty1.cu
Unescape View File

@ -1,12 +1,14 @@ @@ -1,12 +1,14 @@
#include <stdio.h>
#include <memory.h>
#include "miner.h"
#include "cuda_helper.h"
#define USE_SHARED 1
// globaler Speicher für alle HeftyHashes aller Threads
uint32_t *d_heftyHashes[8];
// globaler Speicher für alle HeftyHashes aller Threads
uint32_t *heavy_heftyHashes[8];
/* Hash-Tabellen */
__constant__ uint32_t hefty_gpu_constantTable[64];
@ -30,7 +32,7 @@ uint32_t hefty_cpu_hashTable[] = { @@ -30,7 +32,7 @@ uint32_t hefty_cpu_hashTable[] = {
0x9b05688cUL,
0x1f83d9abUL,
0x5be0cd19UL };
uint32_t hefty_cpu_constantTable[] = {
0x428a2f98UL, 0x71374491UL, 0xb5c0fbcfUL, 0xe9b5dba5UL,
0x3956c25bUL, 0x59f111f1UL, 0x923f82a4UL, 0xab1c5ed5UL,
@ -50,11 +52,16 @@ uint32_t hefty_cpu_constantTable[] = { @@ -50,11 +52,16 @@ uint32_t hefty_cpu_constantTable[] = {
0x90befffaUL, 0xa4506cebUL, 0xbef9a3f7UL, 0xc67178f2UL
};
//#define S(x, n) (((x) >> (n)) | ((x) << (32 - (n))))
static __host__ __device__ uint32_t S(uint32_t x, int n)
#if 0
#define S(x, n) (((x) >> (n)) | ((x) << (32 - (n))))
#else
__host__ __device__
static uint32_t S(uint32_t x, int n)
{
return (((x) >> (n)) | ((x) << (32 - (n))));
}
#endif
#define R(x, n) ((x) >> (n))
#define Ch(x, y, z) ((x & (y ^ z)) ^ z)
#define Maj(x, y, z) ((x & (y | z)) | (y & z))
@ -67,7 +74,9 @@ static __host__ __device__ uint32_t S(uint32_t x, int n) @@ -67,7 +74,9 @@ static __host__ __device__ uint32_t S(uint32_t x, int n)
// uint8_t
#define smoosh4(x) ( ((x)>>4) ^ ((x) & 0x0F) )
__host__ __forceinline__ __device__ uint8_t smoosh2(uint32_t x)
__host__ __forceinline__ __device__
uint8_t smoosh2(uint32_t x)
{
uint16_t w = (x >> 16) ^ (x & 0xffff);
uint8_t n = smoosh4( (uint8_t)( (w >> 8) ^ (w & 0xFF) ) );
@ -77,13 +86,14 @@ __host__ __forceinline__ __device__ uint8_t smoosh2(uint32_t x) @@ -77,13 +86,14 @@ __host__ __forceinline__ __device__ uint8_t smoosh2(uint32_t x)
#define smoosh4Quad(x) ( (((x)>>4) ^ (x)) & 0x0F0F0F0F )
#define getByte(x,y) ( ((x) >> (y)) & 0xFF )
__host__ __forceinline__ __device__ void Mangle(uint32_t *inp)
__host__ __forceinline__ __device__
void Mangle(uint32_t *inp)
{
uint32_t r = smoosh4Quad(inp[0]);
uint32_t inp0org;
uint32_t tmp0Mask, tmp1Mask;
uint32_t in1, in2, isAddition;
uint32_t tmp;
int32_t tmp;
uint8_t b;
inp[1] = inp[1] ^ S(inp[0], getByte(r, 24));
@ -92,24 +102,24 @@ __host__ __forceinline__ __device__ void Mangle(uint32_t *inp) @@ -92,24 +102,24 @@ __host__ __forceinline__ __device__ void Mangle(uint32_t *inp)
tmp = smoosh2(inp[1]);
b = getByte(r,tmp);
inp0org = S(inp[0], b);
tmp0Mask = -((tmp >> 3)&1); // Bit 3 an Position 0
tmp1Mask = -((tmp >> 4)&1); // Bit 4 an Position 0
in1 = (inp[2] & ~inp0org) |
tmp0Mask = (uint32_t) -((tmp >> 3) & 1); // Bit 3 an Position 0
tmp1Mask = (uint32_t) -((tmp >> 4) & 1); // Bit 4 an Position 0
in1 = (inp[2] & ~inp0org) |
(tmp1Mask & ~inp[2] & inp0org) |
(~tmp0Mask & ~inp[2] & inp0org);
in2 = inp[2] += ~inp0org;
isAddition = ~tmp0Mask & tmp1Mask;
inp[2] = isAddition ? in2 : in1;
r += 0x01010101;
tmp = smoosh2(inp[1] ^ inp[2]);
b = getByte(r,tmp);
inp0org = S(inp[0], b);
tmp0Mask = -((tmp >> 3)&1); // Bit 3 an Position 0
tmp1Mask = -((tmp >> 4)&1); // Bit 4 an Position 0
tmp0Mask = (uint32_t) -((tmp >> 3) & 1); // Bit 3 an Position 0
tmp1Mask = (uint32_t) -((tmp >> 4) & 1); // Bit 4 an Position 0
in1 = (inp[3] & ~inp0org) |
in1 = (inp[3] & ~inp0org) |
(tmp1Mask & ~inp[3] & inp0org) |
(~tmp0Mask & ~inp[3] & inp0org);
in2 = inp[3] += ~inp0org;
@ -119,20 +129,23 @@ __host__ __forceinline__ __device__ void Mangle(uint32_t *inp) @@ -119,20 +129,23 @@ __host__ __forceinline__ __device__ void Mangle(uint32_t *inp)
inp[0] ^= (inp[1] ^ inp[2]) + inp[3];
}
__host__ __forceinline__ __device__ void Absorb(uint32_t *inp, uint32_t x)
__host__ __forceinline__ __device__
void Absorb(uint32_t *inp, uint32_t x)
{
inp[0] ^= x;
Mangle(inp);
}
__host__ __forceinline__ __device__ uint32_t Squeeze(uint32_t *inp)
__host__ __forceinline__ __device__
uint32_t Squeeze(uint32_t *inp)
{
uint32_t y = inp[0];
Mangle(inp);
return y;
}
__host__ __forceinline__ __device__ uint32_t Br(uint32_t *sponge, uint32_t x)
__host__ __forceinline__ __device__
uint32_t Br(uint32_t *sponge, uint32_t x)
{
uint32_t r = Squeeze(sponge);
uint32_t t = ((r >> 8) & 0x1F);
@ -146,11 +159,12 @@ __host__ __forceinline__ __device__ uint32_t Br(uint32_t *sponge, uint32_t x) @@ -146,11 +159,12 @@ __host__ __forceinline__ __device__ uint32_t Br(uint32_t *sponge, uint32_t x)
return retVal;
}
__forceinline__ __device__ void hefty_gpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *sponge)
__device__ __forceinline__
void hefty_gpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *sponge)
{
uint32_t tmpBr;
uint32_t brG = Br(sponge, regs[6]);
uint32_t brG = Br(sponge, regs[6]);
uint32_t brF = Br(sponge, regs[5]);
uint32_t tmp1 = Ch(regs[4], brF, brG) + regs[7] + W + K;
uint32_t brE = Br(sponge, regs[4]);
@ -169,11 +183,12 @@ __forceinline__ __device__ void hefty_gpu_round(uint32_t *regs, uint32_t W, uint @@ -169,11 +183,12 @@ __forceinline__ __device__ void hefty_gpu_round(uint32_t *regs, uint32_t W, uint
regs[4] += tmpBr;
}
__host__ void hefty_cpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *sponge)
__host__
void hefty_cpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *sponge)
{
uint32_t tmpBr;
uint32_t brG = Br(sponge, regs[6]);
uint32_t brG = Br(sponge, regs[6]);
uint32_t brF = Br(sponge, regs[5]);
uint32_t tmp1 = Ch(regs[4], brF, brG) + regs[7] + W + K;
uint32_t brE = Br(sponge, regs[4]);
@ -191,11 +206,11 @@ __host__ void hefty_cpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t * @@ -191,11 +206,11 @@ __host__ void hefty_cpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *
regs[4] += tmpBr;
}
// Die Hash-Funktion
__global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHash)
__global__
void hefty_gpu_hash(int threads, uint32_t startNounce, uint32_t *outputHash)
{
#if USE_SHARED
extern __shared__ char heftytab[];
#if USE_SHARED
extern __shared__ unsigned char heftytab[];
if(threadIdx.x < 64)
{
*((uint32_t*)heftytab + threadIdx.x) = hefty_gpu_constantTable[threadIdx.x];
@ -207,9 +222,9 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa @@ -207,9 +222,9 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// bestimme den aktuellen Zähler
// bestimme den aktuellen Zähler
uint32_t nounce = startNounce + thread;
// jeder thread in diesem Block bekommt sein eigenes W Array im Shared memory
// reduktion von 256 byte auf 128 byte
uint32_t W1[16];
@ -219,7 +234,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa @@ -219,7 +234,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa
uint32_t regs[8];
uint32_t hash[8];
uint32_t sponge[4];
#pragma unroll 4
for(int k=0; k < 4; k++)
sponge[k] = hefty_gpu_sponge[k];
@ -231,7 +246,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa @@ -231,7 +246,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa
regs[k] = hefty_gpu_register[k];
hash[k] = regs[k];
}
//memcpy(W, &hefty_gpu_blockHeader[0], sizeof(uint32_t) * 16); // verbleibende 20 bytes aus Block 2 plus padding
#pragma unroll 16
for(int k=0;k<16;k++)
@ -252,7 +267,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa @@ -252,7 +267,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa
}
// Progress W2 (Bytes 64...127) then W3 (Bytes 128...191) ...
#pragma unroll 3
for(int k=0;k<3;k++)
{
@ -279,7 +294,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa @@ -279,7 +294,7 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa
for(int j=0;j<16;j++)
W1[j] = W2[j];
}
#pragma unroll 8
for(int k=0;k<8;k++)
hash[k] += regs[k];
@ -290,27 +305,28 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa @@ -290,27 +305,28 @@ __global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHa
}
}
// Setup-Funktionen
__host__ void hefty_cpu_init(int thr_id, int threads)
__host__
void hefty_cpu_init(int thr_id, int threads)
{
cudaSetDevice(device_map[thr_id]);
// Kopiere die Hash-Tabellen in den GPU-Speicher
cudaMemcpyToSymbol( hefty_gpu_constantTable,
cudaMemcpyToSymbol( hefty_gpu_constantTable,
hefty_cpu_constantTable,
sizeof(uint32_t) * 64 );
// Speicher für alle Hefty1 hashes belegen
cudaMalloc(&d_heftyHashes[thr_id], 8 * sizeof(uint32_t) * threads);
// Speicher für alle Hefty1 hashes belegen
CUDA_SAFE_CALL(cudaMalloc(&heavy_heftyHashes[thr_id], 8 * sizeof(uint32_t) * threads));
}
__host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len)
__host__
void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len)
// data muss 80/84-Byte haben!
{
// Nachricht expandieren und setzen
uint32_t msgBlock[32];
memset(msgBlock, 0, sizeof(uint32_t) * 32);
memset(msgBlock, 0, sizeof(msgBlock));
memcpy(&msgBlock[0], data, len);
if (len == 84) {
msgBlock[21] |= 0x80;
@ -319,17 +335,17 @@ __host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len) @@ -319,17 +335,17 @@ __host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len)
msgBlock[20] |= 0x80;
msgBlock[31] = 640; // bitlen
}
for(int i=0;i<31;i++) // Byteorder drehen
msgBlock[i] = SWAB32(msgBlock[i]);
// die erste Runde wird auf der CPU durchgeführt, da diese für
// die erste Runde wird auf der CPU durchgeführt, da diese für
// alle Threads gleich ist. Der Hash wird dann an die Threads
// übergeben
// übergeben
// Erstelle expandierten Block W
uint32_t W[64];
memcpy(W, &msgBlock[0], sizeof(uint32_t) * 16);
uint32_t W[64];
memcpy(W, &msgBlock[0], sizeof(uint32_t) * 16);
for(int j=16;j<64;j++)
W[j] = s1(W[j-2]) + W[j-7] + s0(W[j-15]) + W[j-16];
@ -344,7 +360,7 @@ __host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len) @@ -344,7 +360,7 @@ __host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len)
{
regs[k] = hefty_cpu_hashTable[k];
hash[k] = regs[k];
}
}
// 1. Runde
for(int j=0;j<16;j++)
@ -366,39 +382,30 @@ __host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len) @@ -366,39 +382,30 @@ __host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len)
hash[k] += regs[k];
// sponge speichern
cudaMemcpyToSymbol( hefty_gpu_sponge,
sponge,
sizeof(uint32_t) * 4 );
cudaMemcpyToSymbol(hefty_gpu_sponge, sponge, 16);
// hash speichern
cudaMemcpyToSymbol( hefty_gpu_register,
hash,
sizeof(uint32_t) * 8 );
cudaMemcpyToSymbol(hefty_gpu_register, hash, 32);
// Blockheader setzen (korrekte Nonce fehlt da drin noch)
cudaMemcpyToSymbol( hefty_gpu_blockHeader,
&msgBlock[16],
64);
CUDA_SAFE_CALL(cudaMemcpyToSymbol(hefty_gpu_blockHeader, &msgBlock[16], 64));
}
__host__ void hefty_cpu_hash(int thr_id, int threads, int startNounce)
__host__
void hefty_cpu_hash(int thr_id, int threads, int startNounce)
{
// Compute 3.x und 5.x Geräte am besten mit 768 Threads ansteuern,
// alle anderen mit 512 Threads.
int threadsperblock = (device_sm[device_map[thr_id]] >= 300) ? 768 : 512;
int threadsperblock = 256;
// berechne wie viele Thread Blocks wir brauchen
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
#if USE_SHARED
size_t shared_size = 8 * 64 * sizeof(uint32_t);
// Größe des dynamischen Shared Memory Bereichs
#if USE_SHARED
int shared_size = 8 * 64 * sizeof(uint32_t);
#else
size_t shared_size = 0;
int shared_size = 0;
#endif
hefty_gpu_hash<<<grid, block, shared_size>>>(threads, startNounce, (void*)d_heftyHashes[thr_id]);
hefty_gpu_hash <<< grid, block, shared_size >>> (threads, startNounce, heavy_heftyHashes[thr_id]);
// Strategisches Sleep Kommando zur Senkung der CPU Last
MyStreamSynchronize(NULL, 0, thr_id);

8
heavy/cuda_hefty1.h
Unescape View File

@ -1,8 +0,0 @@ @@ -1,8 +0,0 @@
#ifndef _CUDA_HEFTY1_H
#define _CUDA_HEFTY1_H
void hefty_cpu_hash(int thr_id, int threads, int startNounce);
void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len);
void hefty_cpu_init(int thr_id, int threads);
#endif

57
heavy/cuda_keccak512.cu
Unescape View File

@ -3,11 +3,11 @@ @@ -3,11 +3,11 @@
#include "cuda_helper.h"
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *d_heftyHashes[8];
extern uint32_t *d_nonceVector[8];
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *heavy_heftyHashes[8];
extern uint32_t *heavy_nonceVector[8];
// globaler Speicher für unsere Ergebnisse
// globaler Speicher für unsere Ergebnisse
uint32_t *d_hash3output[8];
extern uint32_t *d_hash4output[8];
extern uint32_t *d_hash5output[8];
@ -15,13 +15,11 @@ extern uint32_t *d_hash5output[8]; @@ -15,13 +15,11 @@ extern uint32_t *d_hash5output[8];
// der Keccak512 State nach der ersten Runde (72 Bytes)
__constant__ uint64_t c_State[25];
// die Message (72 Bytes) für die zweite Runde auf der GPU
// die Message (72 Bytes) für die zweite Runde auf der GPU
__constant__ uint32_t c_PaddedMessage2[18]; // 44 bytes of remaining message (Nonce at offset 4) plus padding
// ---------------------------- BEGIN CUDA keccak512 functions ------------------------------------
#include "cuda_helper.h"
#define U32TO64_LE(p) \
(((uint64_t)(*p)) | (((uint64_t)(*(p + 1))) << 32))
@ -144,7 +142,7 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_ @@ -144,7 +142,7 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// bestimme den aktuellen Zähler
// bestimme den aktuellen Zähler
//uint32_t nounce = startNounce + thread;
uint32_t nounce = nonceVector[thread];
@ -156,7 +154,7 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_ @@ -156,7 +154,7 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_
#pragma unroll 25
for (int i=0; i < 25; ++i)
keccak_gpu_state[i] = c_State[i];
// Message2 in den Puffer holen
uint32_t msgBlock[18];
mycpy72(msgBlock, c_PaddedMessage2);
@ -167,7 +165,7 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_ @@ -167,7 +165,7 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_
// den individuellen Hefty1 Hash einsetzen
mycpy32(&msgBlock[(BLOCKSIZE-72)/sizeof(uint32_t)], &heftyHashes[8 * hashPosition]);
// den Block einmal gut durchschütteln
// den Block einmal gut durchschütteln
keccak_block(keccak_gpu_state, msgBlock, c_keccak_round_constants);
// das Hash erzeugen
@ -187,8 +185,8 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_ @@ -187,8 +185,8 @@ template <int BLOCKSIZE> __global__ void keccak512_gpu_hash(int threads, uint32_
// ---------------------------- END CUDA keccak512 functions ------------------------------------
// Setup-Funktionen
__host__ void keccak512_cpu_init(int thr_id, int threads)
__host__
void keccak512_cpu_init(int thr_id, int threads)
{
// Kopiere die Hash-Tabellen in den GPU-Speicher
cudaMemcpyToSymbol( c_keccak_round_constants,
@ -196,7 +194,7 @@ __host__ void keccak512_cpu_init(int thr_id, int threads) @@ -196,7 +194,7 @@ __host__ void keccak512_cpu_init(int thr_id, int threads)
sizeof(host_keccak_round_constants),
0, cudaMemcpyHostToDevice);
// Speicher für alle Ergebnisse belegen
// Speicher für alle Ergebnisse belegen
cudaMalloc(&d_hash3output[thr_id], 16 * sizeof(uint32_t) * threads);
}
@ -212,23 +210,24 @@ __host__ void keccak512_cpu_init(int thr_id, int threads) @@ -212,23 +210,24 @@ __host__ void keccak512_cpu_init(int thr_id, int threads)
static int BLOCKSIZE = 84;
__host__ void keccak512_cpu_setBlock(void *data, int len)
__host__
void keccak512_cpu_setBlock(void *data, int len)
// data muss 80 oder 84-Byte haben!
// heftyHash hat 32-Byte
{
// CH
// state init
// state init
uint64_t keccak_cpu_state[25];
memset(keccak_cpu_state, 0, sizeof(keccak_cpu_state));
// erste Runde
// erste Runde
keccak_block((uint64_t*)&keccak_cpu_state, (const uint32_t*)data, host_keccak_round_constants);
// state kopieren
cudaMemcpyToSymbol( c_State, keccak_cpu_state, 25*sizeof(uint64_t), 0, cudaMemcpyHostToDevice);
// keccak hat 72-Byte blöcke, d.h. in unserem Fall zwei Blöcke
// zu jeweils
// keccak hat 72-Byte blöcke, d.h. in unserem Fall zwei Blöcke
// zu jeweils
uint32_t msgBlock[18];
memset(msgBlock, 0, 18 * sizeof(uint32_t));
@ -238,29 +237,31 @@ __host__ void keccak512_cpu_setBlock(void *data, int len) @@ -238,29 +237,31 @@ __host__ void keccak512_cpu_setBlock(void *data, int len)
else if (len == 80)
memcpy(&msgBlock[0], &((uint8_t*)data)[72], 8);
// Nachricht abschließen
// Nachricht abschließen
if (len == 84)
msgBlock[11] = 0x01;
else if (len == 80)
msgBlock[10] = 0x01;
msgBlock[17] = 0x80000000;
// Message 2 ins Constant Memory kopieren (die variable Nonce und
// Message 2 ins Constant Memory kopieren (die variable Nonce und
// der Hefty1 Anteil muss aber auf der GPU erst noch ersetzt werden)
cudaMemcpyToSymbol( c_PaddedMessage2, msgBlock, 18*sizeof(uint32_t), 0, cudaMemcpyHostToDevice );
BLOCKSIZE = len;
}
__host__ void keccak512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy)
__host__
void keccak512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy)
{
// Hefty1 Hashes kopieren
if (copy) cudaMemcpy( d_heftyHashes[thr_id], heftyHashes, 8 * sizeof(uint32_t) * threads, cudaMemcpyHostToDevice );
if (copy)
CUDA_SAFE_CALL(cudaMemcpy(heavy_heftyHashes[thr_id], heftyHashes, 8 * sizeof(uint32_t) * threads, cudaMemcpyHostToDevice));
//else cudaThreadSynchronize();
}
__host__ void keccak512_cpu_hash(int thr_id, int threads, uint32_t startNounce)
__host__
void keccak512_cpu_hash(int thr_id, int threads, uint32_t startNounce)
{
const int threadsperblock = 128;
@ -268,11 +269,11 @@ __host__ void keccak512_cpu_hash(int thr_id, int threads, uint32_t startNounce) @@ -268,11 +269,11 @@ __host__ void keccak512_cpu_hash(int thr_id, int threads, uint32_t startNounce)
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
if (BLOCKSIZE==84)
keccak512_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash3output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
keccak512_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash3output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
else if (BLOCKSIZE==80)
keccak512_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash3output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
keccak512_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash3output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
}

9
heavy/cuda_keccak512.h
Unescape View File

@ -1,9 +0,0 @@ @@ -1,9 +0,0 @@
#ifndef _CUDA_KECCAK512_H
#define _CUDA_KECCAK512_H
void keccak512_cpu_init(int thr_id, int threads);
void keccak512_cpu_setBlock(void *data, int len);
void keccak512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy);
void keccak512_cpu_hash(int thr_id, int threads, uint32_t startNounce);
#endif

51
heavy/cuda_sha256.cu
Unescape View File

@ -3,11 +3,11 @@ @@ -3,11 +3,11 @@
#include "cuda_helper.h"
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *d_heftyHashes[8];
extern uint32_t *d_nonceVector[8];
// globaler Speicher für alle HeftyHashes aller Threads
extern uint32_t *heavy_heftyHashes[8];
extern uint32_t *heavy_nonceVector[8];
// globaler Speicher für unsere Ergebnisse
// globaler Speicher für unsere Ergebnisse
uint32_t *d_hash2output[8];
@ -47,10 +47,10 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s @@ -47,10 +47,10 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// bestimme den aktuellen Zähler
// bestimme den aktuellen Zähler
uint32_t nounce = startNounce + thread;
nonceVector[thread] = nounce;
// jeder thread in diesem Block bekommt sein eigenes W Array im Shared memory
uint32_t W1[16];
uint32_t W2[16];
@ -66,10 +66,10 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s @@ -66,10 +66,10 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s
regs[k] = sha256_gpu_register[k];
hash[k] = regs[k];
}
// 2. Runde
//memcpy(W, &sha256_gpu_blockHeader[0], sizeof(uint32_t) * 16); // TODO: aufsplitten in zwei Teilblöcke
//memcpy(&W[5], &heftyHashes[8 * (blockDim.x * blockIdx.x + threadIdx.x)], sizeof(uint32_t) * 8); // den richtigen Hefty1 Hash holen
//memcpy(W, &sha256_gpu_blockHeader[0], sizeof(uint32_t) * 16); // TODO: aufsplitten in zwei Teilblöcke
//memcpy(&W[5], &heftyHashes[8 * (blockDim.x * blockIdx.x + threadIdx.x)], sizeof(uint32_t) * 8); // den richtigen Hefty1 Hash holen
#pragma unroll 16
for(int k=0;k<16;k++)
W1[k] = sha256_gpu_blockHeader[k];
@ -90,7 +90,7 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s @@ -90,7 +90,7 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + sha256_gpu_constantTable[j] + W1[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
regs[0] = T1 + T2;
@ -121,7 +121,7 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s @@ -121,7 +121,7 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + sha256_gpu_constantTable[j + 16 * (k+1)] + W2[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int l=6; l >= 0; l--) regs[l+1] = regs[l];
regs[0] = T1 + T2;
@ -136,14 +136,14 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s @@ -136,14 +136,14 @@ template <int BLOCKSIZE> __global__ void sha256_gpu_hash(int threads, uint32_t s
/*
for(int j=16;j<64;j++)
W[j] = s1(W[j-2]) + W[j-7] + s0(W[j-15]) + W[j-16];
#pragma unroll 64
for(int j=0;j<64;j++)
{
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + sha256_gpu_constantTable[j] + W[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
regs[0] = T1 + T2;
@ -168,7 +168,7 @@ __host__ void sha256_cpu_init(int thr_id, int threads) @@ -168,7 +168,7 @@ __host__ void sha256_cpu_init(int thr_id, int threads)
sha256_cpu_constantTable,
sizeof(uint32_t) * 64 );
// Speicher für alle Ergebnisse belegen
// Speicher für alle Ergebnisse belegen
cudaMalloc(&d_hash2output[thr_id], 8 * sizeof(uint32_t) * threads);
}
@ -184,25 +184,25 @@ __host__ void sha256_cpu_setBlock(void *data, int len) @@ -184,25 +184,25 @@ __host__ void sha256_cpu_setBlock(void *data, int len)
memset(msgBlock, 0, sizeof(uint32_t) * 32);
memcpy(&msgBlock[0], data, len);
if (len == 84) {
memset(&msgBlock[21], 0, 32); // vorläufig Nullen anstatt der Hefty1 Hashes einfüllen
memset(&msgBlock[21], 0, 32); // vorläufig Nullen anstatt der Hefty1 Hashes einfüllen
msgBlock[29] |= 0x80;
msgBlock[31] = 928; // bitlen
} else if (len == 80) {
memset(&msgBlock[20], 0, 32); // vorläufig Nullen anstatt der Hefty1 Hashes einfüllen
memset(&msgBlock[20], 0, 32); // vorläufig Nullen anstatt der Hefty1 Hashes einfüllen
msgBlock[28] |= 0x80;
msgBlock[31] = 896; // bitlen
}
for(int i=0;i<31;i++) // Byteorder drehen
msgBlock[i] = SWAB32(msgBlock[i]);
// die erste Runde wird auf der CPU durchgeführt, da diese für
// die erste Runde wird auf der CPU durchgeführt, da diese für
// alle Threads gleich ist. Der Hash wird dann an die Threads
// übergeben
// übergeben
uint32_t W[64];
// Erstelle expandierten Block W
memcpy(W, &msgBlock[0], sizeof(uint32_t) * 16);
memcpy(W, &msgBlock[0], sizeof(uint32_t) * 16);
for(int j=16;j<64;j++)
W[j] = s1(W[j-2]) + W[j-7] + s0(W[j-15]) + W[j-16];
@ -223,7 +223,7 @@ __host__ void sha256_cpu_setBlock(void *data, int len) @@ -223,7 +223,7 @@ __host__ void sha256_cpu_setBlock(void *data, int len)
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + sha256_cpu_constantTable[j] + W[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
//#pragma unroll 7
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
// sollte mal noch durch memmov ersetzt werden!
@ -251,7 +251,8 @@ __host__ void sha256_cpu_setBlock(void *data, int len) @@ -251,7 +251,8 @@ __host__ void sha256_cpu_setBlock(void *data, int len)
__host__ void sha256_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy)
{
// Hefty1 Hashes kopieren
if (copy) cudaMemcpy( d_heftyHashes[thr_id], heftyHashes, 8 * sizeof(uint32_t) * threads, cudaMemcpyHostToDevice );
if (copy)
CUDA_SAFE_CALL(cudaMemcpy(heavy_heftyHashes[thr_id], heftyHashes, 8 * sizeof(uint32_t) * threads, cudaMemcpyHostToDevice));
//else cudaThreadSynchronize();
}
@ -263,12 +264,12 @@ __host__ void sha256_cpu_hash(int thr_id, int threads, int startNounce) @@ -263,12 +264,12 @@ __host__ void sha256_cpu_hash(int thr_id, int threads, int startNounce)
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
if (BLOCKSIZE == 84)
sha256_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash2output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
sha256_gpu_hash<84><<<grid, block, shared_size>>>(threads, startNounce, d_hash2output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
else if (BLOCKSIZE == 80) {
sha256_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash2output[thr_id], d_heftyHashes[thr_id], d_nonceVector[thr_id]);
sha256_gpu_hash<80><<<grid, block, shared_size>>>(threads, startNounce, d_hash2output[thr_id], heavy_heftyHashes[thr_id], heavy_nonceVector[thr_id]);
}
}

8
heavy/cuda_sha256.h
Unescape View File

@ -1,8 +0,0 @@ @@ -1,8 +0,0 @@
#ifndef _CUDA_SHA256_H
#define _CUDA_SHA256_H
void sha256_cpu_init(int thr_id, int threads);
void sha256_cpu_setBlock(void *data, int len);
void sha256_cpu_hash(int thr_id, int threads, int startNounce);
void sha256_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy);
#endif

152
heavy/heavy.cu
Unescape View File

@ -1,35 +1,19 @@ @@ -1,35 +1,19 @@
#include <stdio.h>
#include <memory.h>
#include <string.h>
#include <map>
#include <openssl/sha.h>
#ifndef _WIN32
#include <unistd.h>
#endif
#include <map>
// include thrust
#include <thrust/version.h>
#include <thrust/remove.h>
#include <thrust/device_vector.h>
#include <thrust/iterator/constant_iterator.h>
#include "miner.h"
#include "hefty1.h"
extern "C" {
#include "sph/sph_keccak.h"
#include "sph/sph_blake.h"
#include "sph/sph_groestl.h"
#include "heavy/cuda_hefty1.h"
#include "heavy/cuda_sha256.h"
#include "heavy/cuda_keccak512.h"
#include "heavy/cuda_groestl512.h"
#include "heavy/cuda_blake512.h"
#include "heavy/cuda_combine.h"
}
#include "hefty1.h"
#include "heavy/heavy.h"
#include "cuda_helper.h"
extern uint32_t *d_hash2output[8];
@ -37,11 +21,13 @@ extern uint32_t *d_hash3output[8]; @@ -37,11 +21,13 @@ extern uint32_t *d_hash3output[8];
extern uint32_t *d_hash4output[8];
extern uint32_t *d_hash5output[8];
#define HEAVYCOIN_BLKHDR_SZ 84
#define MNR_BLKHDR_SZ 80
#define HEAVYCOIN_BLKHDR_SZ 84
#define MNR_BLKHDR_SZ 80
// nonce-array für die threads
uint32_t *heavy_nonceVector[8];
// nonce-array für die threads
uint32_t *d_nonceVector[8];
extern uint32_t *heavy_heftyHashes[8];
/* Combines top 64-bits from each hash into a single hash */
static void combine_hashes(uint32_t *out, const uint32_t *hash1, const uint32_t *hash2, const uint32_t *hash3, const uint32_t *hash4)
@ -71,9 +57,9 @@ static void combine_hashes(uint32_t *out, const uint32_t *hash1, const uint32_t @@ -71,9 +57,9 @@ static void combine_hashes(uint32_t *out, const uint32_t *hash1, const uint32_t
#include <intrin.h>
static uint32_t __inline bitsset( uint32_t x )
{
DWORD r = 0;
_BitScanReverse(&r, x);
return r;
DWORD r = 0;
_BitScanReverse(&r, x);
return r;
}
#else
static uint32_t bitsset( uint32_t x )
@ -91,21 +77,21 @@ static int findhighbit(const uint32_t *ptarget, int words) @@ -91,21 +77,21 @@ static int findhighbit(const uint32_t *ptarget, int words)
{
if (ptarget[i] != 0) {
highbit = i*32 + bitsset(ptarget[i])+1;
break;
break;
}
}
return highbit;
}
// Generiere ein Multiword-Integer das die Zahl
// (2 << highbit) - 1 repräsentiert.
// (2 << highbit) - 1 repräsentiert.
static void genmask(uint32_t *ptarget, int words, int highbit)
{
int i;
for (i=words-1; i >= 0; --i)
{
if ((i+1)*32 <= highbit)
ptarget[i] = 0xffffffff;
ptarget[i] = UINT32_MAX;
else if (i*32 > highbit)
ptarget[i] = 0x00000000;
else
@ -114,13 +100,18 @@ static void genmask(uint32_t *ptarget, int words, int highbit) @@ -114,13 +100,18 @@ static void genmask(uint32_t *ptarget, int words, int highbit)
}
struct check_nonce_for_remove
{
{
check_nonce_for_remove(uint64_t target, uint32_t *hashes, uint32_t hashlen, uint32_t startNonce) :
m_target(target),
m_hashes(hashes),
m_hashlen(hashlen),
m_startNonce(startNonce) { }
uint64_t m_target;
uint32_t *m_hashes;
uint32_t m_hashlen;
uint32_t m_startNonce;
__device__
bool operator()(const uint32_t x)
{
@ -129,53 +120,39 @@ struct check_nonce_for_remove @@ -129,53 +120,39 @@ struct check_nonce_for_remove
// Wert des Hashes (als uint64_t) auslesen.
// Steht im 6. und 7. Wort des Hashes (jeder dieser Hashes hat 512 Bits)
uint64_t hashValue = *((uint64_t*)(&m_hashes[m_hashlen*hashIndex + 6]));
// gegen das Target prüfen. Es dürfen nur Bits aus dem Target gesetzt sein.
return (hashValue & m_target) != hashValue;
bool res = (hashValue & m_target) != hashValue;
//printf("ndx=%x val=%08x target=%lx\n", hashIndex, hashValue, m_target);
// gegen das Target prüfen. Es dürfen nur Bits aus dem Target gesetzt sein.
return res;
}
uint64_t m_target;
uint32_t *m_hashes;
uint32_t m_hashlen;
uint32_t m_startNonce;
};
int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
const uint32_t *ptarget, uint32_t max_nonce,
unsigned long *hashes_done, uint32_t maxvote, int blocklen);
static bool init[8] = {0,0,0,0,0,0,0,0};
extern "C"
__host__
int scanhash_heavy(int thr_id, uint32_t *pdata,
const uint32_t *ptarget, uint32_t max_nonce,
unsigned long *hashes_done, uint32_t maxvote, int blocklen)
{
return scanhash_heavy_cpp(thr_id, pdata,
ptarget, max_nonce, hashes_done, maxvote, blocklen);
}
int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
const uint32_t *ptarget, uint32_t max_nonce,
unsigned long *hashes_done, uint32_t maxvote, int blocklen)
{
const uint32_t first_nonce = pdata[19]; /* to check */
// CUDA will process thousands of threads.
int throughput = opt_work_size ? opt_work_size : (1 << 19); // 128*4096
throughput = min(throughput, (int)(max_nonce - first_nonce));
int throughput = opt_work_size ? opt_work_size : (1 << 19); // 256*2048
throughput = min(throughput, (int)(max_nonce - first_nonce));
int rc = 0;
uint32_t *hash = NULL;
cudaMallocHost(&hash, throughput*8*sizeof(uint32_t));
uint32_t *cpu_nonceVector = NULL;
cudaMallocHost(&cpu_nonceVector, throughput*sizeof(uint32_t));
CUDA_SAFE_CALL(cudaMallocHost(&hash, throughput*8*sizeof(uint32_t)));
CUDA_SAFE_CALL(cudaMallocHost(&cpu_nonceVector, throughput*sizeof(uint32_t)));
int nrmCalls[6];
memset(nrmCalls, 0, sizeof(int) * 6);
if (opt_benchmark)
((uint32_t*)ptarget)[7] = 0x000000ff;
if (opt_benchmark)
((uint32_t*)ptarget)[7] = 0x00ff;
// für jeden Hash ein individuelles Target erstellen basierend
// auf dem höchsten Bit, das in ptarget gesetzt ist.
// für jeden Hash ein individuelles Target erstellen basierend
// auf dem höchsten Bit, das in ptarget gesetzt ist.
int highbit = findhighbit(ptarget, 8);
uint32_t target2[2], target3[2], target4[2], target5[2];
genmask(target2, 2, highbit/4+(((highbit%4)>3)?1:0) ); // SHA256
@ -183,7 +160,6 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -183,7 +160,6 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
genmask(target4, 2, highbit/4+(((highbit%4)>1)?1:0) ); // groestl512
genmask(target5, 2, highbit/4+(((highbit%4)>0)?1:0) ); // blake512
static bool init[8] = {0,0,0,0,0,0,0,0};
if (!init[thr_id])
{
hefty_cpu_init(thr_id, throughput);
@ -192,8 +168,10 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -192,8 +168,10 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
groestl512_cpu_init(thr_id, throughput);
blake512_cpu_init(thr_id, throughput);
combine_cpu_init(thr_id, throughput);
CUDA_SAFE_CALL(cudaMalloc(&heavy_nonceVector[thr_id], sizeof(uint32_t) * throughput));
init[thr_id] = true;
cudaMalloc(&d_nonceVector[thr_id], sizeof(uint32_t) * throughput);
}
if (blocklen == HEAVYCOIN_BLKHDR_SZ)
@ -201,13 +179,13 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -201,13 +179,13 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
uint16_t *ext = (uint16_t *)&pdata[20];
if (opt_vote > maxvote) {
printf("Warning: Your block reward vote (%hu) exceeds "
"the maxvote reported by the pool (%hu).\n",
applog(LOG_WARNING, "Your block reward vote (%hu) exceeds "
"the maxvote reported by the pool (%hu).",
opt_vote, maxvote);
}
if (opt_trust_pool && opt_vote > maxvote) {
printf("Warning: Capping block reward vote to maxvote reported by pool.\n");
applog(LOG_WARNING, "Capping block reward vote to maxvote reported by pool.");
ext[0] = maxvote;
}
else
@ -222,32 +200,34 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -222,32 +200,34 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
blake512_cpu_setBlock(pdata, blocklen);
do {
uint32_t i;
////// Compaction init
thrust::device_ptr<uint32_t> devNoncePtr(d_nonceVector[thr_id]);
thrust::device_ptr<uint32_t> devNoncePtrEnd((d_nonceVector[thr_id]) + throughput);
thrust::device_ptr<uint32_t> devNoncePtr(heavy_nonceVector[thr_id]);
thrust::device_ptr<uint32_t> devNoncePtrEnd((heavy_nonceVector[thr_id]) + throughput);
uint32_t actualNumberOfValuesInNonceVectorGPU = throughput;
uint64_t *t;
hefty_cpu_hash(thr_id, throughput, pdata[19]);
//cudaThreadSynchronize();
sha256_cpu_hash(thr_id, throughput, pdata[19]);
//cudaThreadSynchronize();
// Hier ist die längste CPU Wartephase. Deshalb ein strategisches MyStreamSynchronize() hier.
// Hier ist die längste CPU Wartephase. Deshalb ein strategisches MyStreamSynchronize() hier.
MyStreamSynchronize(NULL, 1, thr_id);
////// Compaction
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*((uint64_t*)target2), d_hash2output[thr_id], 8, pdata[19]));
t = (uint64_t*) target2;
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*t, d_hash2output[thr_id], 8, pdata[19]));
actualNumberOfValuesInNonceVectorGPU = (uint32_t)(devNoncePtrEnd - devNoncePtr);
if(actualNumberOfValuesInNonceVectorGPU == 0)
goto emptyNonceVector;
keccak512_cpu_hash(thr_id, actualNumberOfValuesInNonceVectorGPU, pdata[19]);
//cudaThreadSynchronize();
////// Compaction
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*((uint64_t*)target3), d_hash3output[thr_id], 16, pdata[19]));
t = (uint64_t*) target3;
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*t, d_hash3output[thr_id], 16, pdata[19]));
actualNumberOfValuesInNonceVectorGPU = (uint32_t)(devNoncePtrEnd - devNoncePtr);
if(actualNumberOfValuesInNonceVectorGPU == 0)
goto emptyNonceVector;
@ -256,7 +236,8 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -256,7 +236,8 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
//cudaThreadSynchronize();
////// Compaction
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*((uint64_t*)target5), d_hash5output[thr_id], 16, pdata[19]));
t = (uint64_t*) target5;
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*t, d_hash5output[thr_id], 16, pdata[19]));
actualNumberOfValuesInNonceVectorGPU = (uint32_t)(devNoncePtrEnd - devNoncePtr);
if(actualNumberOfValuesInNonceVectorGPU == 0)
goto emptyNonceVector;
@ -265,25 +246,31 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -265,25 +246,31 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
//cudaThreadSynchronize();
////// Compaction
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*((uint64_t*)target4), d_hash4output[thr_id], 16, pdata[19]));
t = (uint64_t*) target4;
devNoncePtrEnd = thrust::remove_if(devNoncePtr, devNoncePtrEnd, check_nonce_for_remove(*t, d_hash4output[thr_id], 16, pdata[19]));
actualNumberOfValuesInNonceVectorGPU = (uint32_t)(devNoncePtrEnd - devNoncePtr);
if(actualNumberOfValuesInNonceVectorGPU == 0)
goto emptyNonceVector;
// combine
combine_cpu_hash(thr_id, actualNumberOfValuesInNonceVectorGPU, pdata[19], hash);
if (opt_tracegpu) {
applog(LOG_BLUE, "heavy GPU hash:");
applog_hash((uchar*)hash);
}
// Ergebnisse kopieren
if(actualNumberOfValuesInNonceVectorGPU > 0)
{
cudaMemcpy(cpu_nonceVector, d_nonceVector[thr_id], sizeof(uint32_t) * actualNumberOfValuesInNonceVectorGPU, cudaMemcpyDeviceToHost);
size_t size = sizeof(uint32_t) * actualNumberOfValuesInNonceVectorGPU;
CUDA_SAFE_CALL(cudaMemcpy(cpu_nonceVector, heavy_nonceVector[thr_id], size, cudaMemcpyDeviceToHost));
cudaDeviceSynchronize();
for (i=0; i<actualNumberOfValuesInNonceVectorGPU;++i)
for (uint32_t i=0; i < actualNumberOfValuesInNonceVectorGPU; i++)
{
uint32_t nonce = cpu_nonceVector[i];
//uint32_t index = nonce - pdata[19];
uint32_t index = i;
uint32_t *foundhash = &hash[8*index];
uint32_t *foundhash = &hash[8*i];
if (foundhash[7] <= ptarget[7]) {
if (fulltest(foundhash, ptarget)) {
uint32_t verification[8];
@ -291,9 +278,7 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata, @@ -291,9 +278,7 @@ int scanhash_heavy_cpp(int thr_id, uint32_t *pdata,
heavycoin_hash((uchar*)verification, (uchar*)pdata, blocklen);
if (memcmp(verification, foundhash, 8*sizeof(uint32_t))) {
applog(LOG_ERR, "hash for nonce=$%08X does not validate on CPU!\n", nonce);
}
else
{
} else {
*hashes_done = pdata[19] - first_nonce;
rc = 1;
goto exit;
@ -316,6 +301,7 @@ exit: @@ -316,6 +301,7 @@ exit:
return rc;
}
__host__
void heavycoin_hash(uchar* output, const uchar* input, int len)
{
unsigned char hash1[32];

30
heavy/heavy.h
Unescape View File

@ -0,0 +1,30 @@ @@ -0,0 +1,30 @@
#ifndef _CUDA_HEAVY_H
#define _CUDA_HEAVY_H
void blake512_cpu_init(int thr_id, int threads);
void blake512_cpu_setBlock(void *pdata, int len);
void blake512_cpu_hash(int thr_id, int threads, uint32_t startNounce);
void groestl512_cpu_init(int thr_id, int threads);
void groestl512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy);
void groestl512_cpu_setBlock(void *data, int len);
void groestl512_cpu_hash(int thr_id, int threads, uint32_t startNounce);
void hefty_cpu_hash(int thr_id, int threads, int startNounce);
void hefty_cpu_setBlock(int thr_id, int threads, void *data, int len);
void hefty_cpu_init(int thr_id, int threads);
void keccak512_cpu_init(int thr_id, int threads);
void keccak512_cpu_setBlock(void *data, int len);
void keccak512_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy);
void keccak512_cpu_hash(int thr_id, int threads, uint32_t startNounce);
void sha256_cpu_init(int thr_id, int threads);
void sha256_cpu_setBlock(void *data, int len);
void sha256_cpu_hash(int thr_id, int threads, int startNounce);
void sha256_cpu_copyHeftyHash(int thr_id, int threads, void *heftyHashes, int copy);
void combine_cpu_init(int thr_id, int threads);
void combine_cpu_hash(int thr_id, int threads, uint32_t startNounce, uint32_t *hash);
#endif

2
stats.cpp
Unescape View File

@ -37,7 +37,7 @@ void stats_remember_speed(int thr_id, uint32_t hashcount, double hashrate, uint8 @@ -37,7 +37,7 @@ void stats_remember_speed(int thr_id, uint32_t hashcount, double hashrate, uint8
return;
memset(&data, 0, sizeof(data));
data.uid = uid;
data.uid = (uint32_t) uid;
data.gpu_id = gpu;
data.thr_id = (uint8_t)thr_id;
data.tm_stat = (uint32_t) time(NULL);

18
util.cpp
Unescape View File

@ -102,10 +102,8 @@ void applog(int prio, const char *fmt, ...) @@ -102,10 +102,8 @@ void applog(int prio, const char *fmt, ...)
const char* color = "";
char *f;
int len;
time_t now;
struct tm tm, *tm_p;
time(&now);
time_t now = time(NULL);
pthread_mutex_lock(&applog_lock);
tm_p = localtime(&now);
@ -735,9 +733,7 @@ char *stratum_recv_line(struct stratum_ctx *sctx) @@ -735,9 +733,7 @@ char *stratum_recv_line(struct stratum_ctx *sctx)
if (!strstr(sctx->sockbuf, "\n")) {
bool ret = true;
time_t rstart;
time(&rstart);
time_t rstart = time(NULL);
if (!socket_full(sctx->sock, 60)) {
applog(LOG_ERR, "stratum_recv_line timed out");
goto out;
@ -1578,16 +1574,18 @@ void do_gpu_tests(void) @@ -1578,16 +1574,18 @@ void do_gpu_tests(void)
uchar buf[128];
uint32_t tgt[8] = { 0 };
memset(buf, 0, sizeof buf);
buf[0] = 1; buf[64] = 2;
opt_tracegpu = true;
work_restart = (struct work_restart*) malloc(sizeof(struct work_restart));
work_restart[0].restart = 1;
tgt[6] = 0xffff;
tgt[7] = 0xffff;
memset(buf, 0, sizeof buf);
// buf[0] = 1; buf[64] = 2; // for endian tests
scanhash_blake256(0, (uint32_t*)buf, tgt, 1, &done, 14);
memset(buf, 0, sizeof buf);
scanhash_heavy(0, (uint32_t*)buf, tgt, 1, &done, 1, 84); // HEAVYCOIN_BLKHDR_SZ=84
free(work_restart);
work_restart = NULL;
opt_tracegpu = false;

Write Preview
Loading…
Cancel
Save