Add whirlcoin and optimize x11 luffa (maxrregcount)
This commit is contained in:
parent
4bc23048b5
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1fbcbbacc4
17
Makefile.am
17
Makefile.am
@ -40,23 +40,30 @@ ccminer_SOURCES = elist.h miner.h compat.h \
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x11/x11.cu x11/fresh.cu x11/cuda_x11_luffa512.cu x11/cuda_x11_cubehash512.cu \
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x11/cuda_x11_shavite512.cu x11/cuda_x11_simd512.cu x11/cuda_x11_echo.cu \
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x13/x13.cu x13/cuda_x13_hamsi512.cu x13/cuda_x13_fugue512.cu \
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x15/x14.cu x15/x15.cu x15/cuda_x14_shabal512.cu x15/cuda_x15_whirlpool.cu
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x15/x14.cu x15/x15.cu x15/cuda_x14_shabal512.cu x15/cuda_x15_whirlpool.cu x15/whirlcoin.cu
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ccminer_LDFLAGS = $(PTHREAD_FLAGS) @CUDA_LDFLAGS@
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ccminer_LDADD = @LIBCURL@ @JANSSON_LIBS@ @PTHREAD_LIBS@ @WS2_LIBS@ @CUDA_LIBS@ @OPENMP_CFLAGS@ @LIBS@
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ccminer_CPPFLAGS = -msse2 @LIBCURL_CPPFLAGS@ @OPENMP_CFLAGS@ $(PTHREAD_FLAGS) -fno-strict-aliasing $(JANSSON_INCLUDES) -DSCRYPT_KECCAK512 -DSCRYPT_CHACHA -DSCRYPT_CHOOSE_COMPILETIME
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nvcc_FLAGS = -gencode=arch=compute_50,code=\"sm_50,compute_50\" -gencode=arch=compute_35,code=\"sm_35,compute_35\" -I . -Xptxas "-v" --ptxas-options=-v
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nvcc_FLAGS += $(JANSSON_INCLUDES)
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# we're now targeting all major compute architectures within one binary.
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.cu.o:
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$(NVCC) @CFLAGS@ -I . -Xptxas "-v" -gencode=arch=compute_50,code=\"sm_50,compute_50\" -gencode=arch=compute_35,code=\"sm_35,compute_35\" --maxrregcount=128 --ptxas-options=-v $(JANSSON_INCLUDES) -o $@ -c $<
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$(NVCC) $(nvcc_FLAGS) @CFLAGS@ --maxrregcount=128 -o $@ -c $<
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# Luffa is faster with 80 registers than 128
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x11/cuda_x11_luffa512.o: x11/cuda_x11_luffa512.cu
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$(NVCC) $(nvcc_FLAGS) @CFLAGS@ --maxrregcount=80 -o $@ -c $<
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# Shavite compiles faster with 128 regs
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x11/cuda_x11_shavite512.o: x11/cuda_x11_shavite512.cu
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$(NVCC) -I . -I cudpp-2.1/include @CFLAGS@ -Xptxas "-v" -gencode=arch=compute_50,code=\"sm_50,compute_50\" -gencode=arch=compute_35,code=\"sm_35,compute_35\" --maxrregcount=128 --ptxas-options=-v $(JANSSON_INCLUDES) -o $@ -c $<
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$(NVCC) $(nvcc_FLAGS) -I cudpp-2.1/include @CFLAGS@ --maxrregcount=128 -o $@ -c $<
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# ABI requiring code modules
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quark/cuda_quark_compactionTest.o: quark/cuda_quark_compactionTest.cu
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$(NVCC) -I . -I cudpp-2.1/include @CFLAGS@ -Xptxas "-abi=yes -v" -gencode=arch=compute_50,code=\"sm_50,compute_50\" -gencode=arch=compute_35,code=\"sm_35,compute_35\" --maxrregcount=80 --ptxas-options=-v $(JANSSON_INCLUDES) -o $@ -c $<
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$(NVCC) $(nvcc_FLAGS) -I cudpp-2.1/include @CFLAGS@ -Xptxas "-abi=yes -v" --maxrregcount=80 -o $@ -c $<
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JHA/cuda_jha_compactionTest.o: JHA/cuda_jha_compactionTest.cu
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$(NVCC) -I . -I cudpp-2.1/include @CFLAGS@ -Xptxas "-abi=yes -v" -gencode=arch=compute_50,code=\"sm_50,compute_50\" -gencode=arch=compute_35,code=\"sm_35,compute_35\" --maxrregcount=80 --ptxas-options=-v $(JANSSON_INCLUDES) -o $@ -c $<
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$(NVCC) $(nvcc_FLAGS) -I cudpp-2.1/include @CFLAGS@ -Xptxas "-abi=yes -v" --maxrregcount=80 -o $@ -c $<
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@ -7,6 +7,7 @@
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make clean || echo clean
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rm -f Makefile.in
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rm -f config.status
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./autogen.sh || echo done
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@ -134,6 +134,7 @@ typedef enum {
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ALGO_ANIME,
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ALGO_FRESH,
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ALGO_NIST5,
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ALGO_WHC,
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ALGO_X11,
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ALGO_X13,
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ALGO_X14,
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@ -152,6 +153,7 @@ static const char *algo_names[] = {
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"anime",
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"fresh",
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"nist5",
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"whirlcoin",
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"x11",
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"x13",
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"x14",
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@ -229,6 +231,7 @@ Options:\n\
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anime Animecoin hash\n\
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fresh Freshcoin hash (shavite 80)\n\
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nist5 NIST5 (TalkCoin) hash\n\
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whirlcoin Whirlcoin hash\n\
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x11 X11 (DarkCoin) hash\n\
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x13 X13 (MaruCoin) hash\n\
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x14 X14 hash\n\
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@ -931,6 +934,11 @@ static void *miner_thread(void *userdata)
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max_nonce, &hashes_done);
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break;
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case ALGO_WHC:
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rc = scanhash_whc(thr_id, work.data, work.target,
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max_nonce, &hashes_done);
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break;
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case ALGO_X11:
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rc = scanhash_x11(thr_id, work.data, work.target,
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max_nonce, &hashes_done);
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@ -238,7 +238,7 @@ uint64_t shl_t64(uint64_t x, uint32_t n)
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// 64-bit ROTATE RIGHT
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#ifdef DJM_SM35_ROT64
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#if __CUDA_ARCH__ >= 350
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/* complicated sm >= 3.5 one (with Funnel Shifter beschleunigt), to bench */
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__device__ __forceinline__
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uint64_t ROTR64(const uint64_t value, const int offset) {
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@ -274,8 +274,7 @@ uint64_t ROTR64(const uint64_t x, const int offset)
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#endif
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// 64-bit ROTATE LEFT
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#ifdef DJM_SM35_ROT64
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/* complicated sm >= 3.5 one, to bench */
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#if __CUDA_ARCH__ >= 350
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__device__ __forceinline__
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uint64_t ROTL64(const uint64_t value, const int offset) {
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uint2 result;
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5
miner.h
5
miner.h
@ -242,6 +242,10 @@ extern int scanhash_nist5(int thr_id, uint32_t *pdata,
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const uint32_t *ptarget, uint32_t max_nonce,
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unsigned long *hashes_done);
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extern int scanhash_whc(int thr_id, uint32_t *pdata,
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const uint32_t *ptarget, uint32_t max_nonce,
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unsigned long *hashes_done);
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extern int scanhash_x11(int thr_id, uint32_t *pdata,
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const uint32_t *ptarget, uint32_t max_nonce,
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unsigned long *hashes_done);
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@ -362,6 +366,7 @@ void myriadhash(void *state, const void *input);
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void fresh_hash(void *state, const void *input);
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void nist5hash(void *state, const void *input);
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void quarkhash(void *state, const void *input);
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void wcoinhash(void *state, const void *input);
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void x11hash(void *output, const void *input);
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void x13hash(void *output, const void *input);
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void x14hash(void *output, const void *input);
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@ -1,5 +1,3 @@
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#if 1
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#include <stdio.h>
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#include <memory.h>
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@ -11,9 +9,6 @@ extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int t
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// die Message it Padding zur Berechnung auf der GPU
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__constant__ uint64_t c_PaddedMessage80[16]; // padded message (80 bytes + padding)
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// aus heavy.cu
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extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int thr_id);
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#define SHL(x, n) ((x) << (n))
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#define SHR(x, n) ((x) >> (n))
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@ -320,4 +315,3 @@ __host__ void quark_bmw512_cpu_hash_80(int thr_id, int threads, uint32_t startNo
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MyStreamSynchronize(NULL, order, thr_id);
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}
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#endif
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@ -1,165 +1,171 @@
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#include <stdio.h>
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#include <memory.h>
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#include "cuda_helper.h"
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// aus heavy.cu
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extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int thr_id);
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#define U32TO64_LE(p) \
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(((uint64_t)(*p)) | (((uint64_t)(*(p + 1))) << 32))
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#define U64TO32_LE(p, v) \
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*p = (uint32_t)((v)); *(p+1) = (uint32_t)((v) >> 32);
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__device__ __constant__
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static const uint64_t c_keccak_round_constants[24] = {
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0x0000000000000001ull, 0x0000000000008082ull,
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0x800000000000808aull, 0x8000000080008000ull,
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0x000000000000808bull, 0x0000000080000001ull,
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0x8000000080008081ull, 0x8000000000008009ull,
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0x000000000000008aull, 0x0000000000000088ull,
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0x0000000080008009ull, 0x000000008000000aull,
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0x000000008000808bull, 0x800000000000008bull,
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0x8000000000008089ull, 0x8000000000008003ull,
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0x8000000000008002ull, 0x8000000000000080ull,
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0x000000000000800aull, 0x800000008000000aull,
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0x8000000080008081ull, 0x8000000000008080ull,
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0x0000000080000001ull, 0x8000000080008008ull
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};
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static __device__ __forceinline__ void
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keccak_block(uint64_t *s, const uint32_t *in, const uint64_t *keccak_round_constants) {
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size_t i;
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uint64_t t[5], u[5], v, w;
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/* absorb input */
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#pragma unroll 9
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for (i = 0; i < 72 / 8; i++, in += 2)
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s[i] ^= U32TO64_LE(in);
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for (i = 0; i < 24; i++) {
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/* theta: c = a[0,i] ^ a[1,i] ^ .. a[4,i] */
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t[0] = s[0] ^ s[5] ^ s[10] ^ s[15] ^ s[20];
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t[1] = s[1] ^ s[6] ^ s[11] ^ s[16] ^ s[21];
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t[2] = s[2] ^ s[7] ^ s[12] ^ s[17] ^ s[22];
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t[3] = s[3] ^ s[8] ^ s[13] ^ s[18] ^ s[23];
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t[4] = s[4] ^ s[9] ^ s[14] ^ s[19] ^ s[24];
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/* theta: d[i] = c[i+4] ^ rotl(c[i+1],1) */
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u[0] = t[4] ^ ROTL64(t[1], 1);
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u[1] = t[0] ^ ROTL64(t[2], 1);
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u[2] = t[1] ^ ROTL64(t[3], 1);
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u[3] = t[2] ^ ROTL64(t[4], 1);
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u[4] = t[3] ^ ROTL64(t[0], 1);
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/* theta: a[0,i], a[1,i], .. a[4,i] ^= d[i] */
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s[0] ^= u[0]; s[5] ^= u[0]; s[10] ^= u[0]; s[15] ^= u[0]; s[20] ^= u[0];
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s[1] ^= u[1]; s[6] ^= u[1]; s[11] ^= u[1]; s[16] ^= u[1]; s[21] ^= u[1];
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s[2] ^= u[2]; s[7] ^= u[2]; s[12] ^= u[2]; s[17] ^= u[2]; s[22] ^= u[2];
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s[3] ^= u[3]; s[8] ^= u[3]; s[13] ^= u[3]; s[18] ^= u[3]; s[23] ^= u[3];
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s[4] ^= u[4]; s[9] ^= u[4]; s[14] ^= u[4]; s[19] ^= u[4]; s[24] ^= u[4];
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/* rho pi: b[..] = rotl(a[..], ..) */
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v = s[ 1];
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s[ 1] = ROTL64(s[ 6], 44);
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s[ 6] = ROTL64(s[ 9], 20);
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s[ 9] = ROTL64(s[22], 61);
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s[22] = ROTL64(s[14], 39);
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s[14] = ROTL64(s[20], 18);
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s[20] = ROTL64(s[ 2], 62);
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s[ 2] = ROTL64(s[12], 43);
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s[12] = ROTL64(s[13], 25);
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s[13] = ROTL64(s[19], 8);
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s[19] = ROTL64(s[23], 56);
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s[23] = ROTL64(s[15], 41);
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s[15] = ROTL64(s[ 4], 27);
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s[ 4] = ROTL64(s[24], 14);
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s[24] = ROTL64(s[21], 2);
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s[21] = ROTL64(s[ 8], 55);
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s[ 8] = ROTL64(s[16], 45);
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s[16] = ROTL64(s[ 5], 36);
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s[ 5] = ROTL64(s[ 3], 28);
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s[ 3] = ROTL64(s[18], 21);
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s[18] = ROTL64(s[17], 15);
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s[17] = ROTL64(s[11], 10);
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s[11] = ROTL64(s[ 7], 6);
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s[ 7] = ROTL64(s[10], 3);
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s[10] = ROTL64( v, 1);
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/* chi: a[i,j] ^= ~b[i,j+1] & b[i,j+2] */
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v = s[ 0]; w = s[ 1]; s[ 0] ^= (~w) & s[ 2]; s[ 1] ^= (~s[ 2]) & s[ 3]; s[ 2] ^= (~s[ 3]) & s[ 4]; s[ 3] ^= (~s[ 4]) & v; s[ 4] ^= (~v) & w;
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v = s[ 5]; w = s[ 6]; s[ 5] ^= (~w) & s[ 7]; s[ 6] ^= (~s[ 7]) & s[ 8]; s[ 7] ^= (~s[ 8]) & s[ 9]; s[ 8] ^= (~s[ 9]) & v; s[ 9] ^= (~v) & w;
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v = s[10]; w = s[11]; s[10] ^= (~w) & s[12]; s[11] ^= (~s[12]) & s[13]; s[12] ^= (~s[13]) & s[14]; s[13] ^= (~s[14]) & v; s[14] ^= (~v) & w;
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v = s[15]; w = s[16]; s[15] ^= (~w) & s[17]; s[16] ^= (~s[17]) & s[18]; s[17] ^= (~s[18]) & s[19]; s[18] ^= (~s[19]) & v; s[19] ^= (~v) & w;
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v = s[20]; w = s[21]; s[20] ^= (~w) & s[22]; s[21] ^= (~s[22]) & s[23]; s[22] ^= (~s[23]) & s[24]; s[23] ^= (~s[24]) & v; s[24] ^= (~v) & w;
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/* iota: a[0,0] ^= round constant */
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s[0] ^= keccak_round_constants[i];
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}
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}
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__global__ void quark_keccak512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t *g_hash, uint32_t *g_nonceVector)
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{
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int thread = (blockDim.x * blockIdx.x + threadIdx.x);
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if (thread < threads)
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{
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uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);
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int hashPosition = nounce - startNounce;
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uint32_t *inpHash = (uint32_t*)&g_hash[8 * hashPosition];
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// Nachricht kopieren
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uint32_t message[18];
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#pragma unroll 16
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for(int i=0;i<16;i++)
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message[i] = inpHash[i];
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message[16] = 0x01;
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message[17] = 0x80000000;
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// State initialisieren
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uint64_t keccak_gpu_state[25];
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#pragma unroll 25
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for (int i=0; i<25; i++)
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keccak_gpu_state[i] = 0;
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// den Block einmal gut durchschütteln
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keccak_block(keccak_gpu_state, message, c_keccak_round_constants);
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// das Hash erzeugen
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uint32_t hash[16];
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#pragma unroll 8
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for (size_t i = 0; i < 64; i += 8) {
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U64TO32_LE((&hash[i/4]), keccak_gpu_state[i / 8]);
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}
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// fertig
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uint32_t *outpHash = (uint32_t*)&g_hash[8 * hashPosition];
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#pragma unroll 16
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for(int i=0;i<16;i++)
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outpHash[i] = hash[i];
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}
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}
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// Setup-Funktionen
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__host__ void quark_keccak512_cpu_init(int thr_id, int threads)
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{
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}
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__host__ void quark_keccak512_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order)
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{
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const int threadsperblock = 256;
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// berechne wie viele Thread Blocks wir brauchen
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dim3 grid((threads + threadsperblock-1)/threadsperblock);
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dim3 block(threadsperblock);
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// Größe des dynamischen Shared Memory Bereichs
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size_t shared_size = 0;
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quark_keccak512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
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MyStreamSynchronize(NULL, order, thr_id);
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}
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#include <stdio.h>
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#include <memory.h>
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#include "cuda_helper.h"
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// heavy.cu
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extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int thr_id);
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#define U32TO64_LE(p) \
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(((uint64_t)(*p)) | (((uint64_t)(*(p + 1))) << 32))
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#define U64TO32_LE(p, v) \
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*p = (uint32_t)((v)); *(p+1) = (uint32_t)((v) >> 32);
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static const uint64_t host_keccak_round_constants[24] = {
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0x0000000000000001ull, 0x0000000000008082ull,
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0x800000000000808aull, 0x8000000080008000ull,
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0x000000000000808bull, 0x0000000080000001ull,
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0x8000000080008081ull, 0x8000000000008009ull,
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0x000000000000008aull, 0x0000000000000088ull,
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0x0000000080008009ull, 0x000000008000000aull,
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0x000000008000808bull, 0x800000000000008bull,
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0x8000000000008089ull, 0x8000000000008003ull,
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0x8000000000008002ull, 0x8000000000000080ull,
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||||
0x000000000000800aull, 0x800000008000000aull,
|
||||
0x8000000080008081ull, 0x8000000000008080ull,
|
||||
0x0000000080000001ull, 0x8000000080008008ull
|
||||
};
|
||||
|
||||
__constant__ uint64_t c_keccak_round_constants[24];
|
||||
|
||||
static __device__ __forceinline__ void
|
||||
keccak_block(uint64_t *s, const uint32_t *in, const uint64_t *keccak_round_constants) {
|
||||
size_t i;
|
||||
uint64_t t[5], u[5], v, w;
|
||||
|
||||
/* absorb input */
|
||||
#pragma unroll 9
|
||||
for (i = 0; i < 72 / 8; i++, in += 2)
|
||||
s[i] ^= U32TO64_LE(in);
|
||||
|
||||
for (i = 0; i < 24; i++) {
|
||||
/* theta: c = a[0,i] ^ a[1,i] ^ .. a[4,i] */
|
||||
t[0] = s[0] ^ s[5] ^ s[10] ^ s[15] ^ s[20];
|
||||
t[1] = s[1] ^ s[6] ^ s[11] ^ s[16] ^ s[21];
|
||||
t[2] = s[2] ^ s[7] ^ s[12] ^ s[17] ^ s[22];
|
||||
t[3] = s[3] ^ s[8] ^ s[13] ^ s[18] ^ s[23];
|
||||
t[4] = s[4] ^ s[9] ^ s[14] ^ s[19] ^ s[24];
|
||||
|
||||
/* theta: d[i] = c[i+4] ^ rotl(c[i+1],1) */
|
||||
u[0] = t[4] ^ ROTL64(t[1], 1);
|
||||
u[1] = t[0] ^ ROTL64(t[2], 1);
|
||||
u[2] = t[1] ^ ROTL64(t[3], 1);
|
||||
u[3] = t[2] ^ ROTL64(t[4], 1);
|
||||
u[4] = t[3] ^ ROTL64(t[0], 1);
|
||||
|
||||
/* theta: a[0,i], a[1,i], .. a[4,i] ^= d[i] */
|
||||
s[0] ^= u[0]; s[5] ^= u[0]; s[10] ^= u[0]; s[15] ^= u[0]; s[20] ^= u[0];
|
||||
s[1] ^= u[1]; s[6] ^= u[1]; s[11] ^= u[1]; s[16] ^= u[1]; s[21] ^= u[1];
|
||||
s[2] ^= u[2]; s[7] ^= u[2]; s[12] ^= u[2]; s[17] ^= u[2]; s[22] ^= u[2];
|
||||
s[3] ^= u[3]; s[8] ^= u[3]; s[13] ^= u[3]; s[18] ^= u[3]; s[23] ^= u[3];
|
||||
s[4] ^= u[4]; s[9] ^= u[4]; s[14] ^= u[4]; s[19] ^= u[4]; s[24] ^= u[4];
|
||||
|
||||
/* rho pi: b[..] = rotl(a[..], ..) */
|
||||
v = s[ 1];
|
||||
s[ 1] = ROTL64(s[ 6], 44);
|
||||
s[ 6] = ROTL64(s[ 9], 20);
|
||||
s[ 9] = ROTL64(s[22], 61);
|
||||
s[22] = ROTL64(s[14], 39);
|
||||
s[14] = ROTL64(s[20], 18);
|
||||
s[20] = ROTL64(s[ 2], 62);
|
||||
s[ 2] = ROTL64(s[12], 43);
|
||||
s[12] = ROTL64(s[13], 25);
|
||||
s[13] = ROTL64(s[19], 8);
|
||||
s[19] = ROTL64(s[23], 56);
|
||||
s[23] = ROTL64(s[15], 41);
|
||||
s[15] = ROTL64(s[ 4], 27);
|
||||
s[ 4] = ROTL64(s[24], 14);
|
||||
s[24] = ROTL64(s[21], 2);
|
||||
s[21] = ROTL64(s[ 8], 55);
|
||||
s[ 8] = ROTL64(s[16], 45);
|
||||
s[16] = ROTL64(s[ 5], 36);
|
||||
s[ 5] = ROTL64(s[ 3], 28);
|
||||
s[ 3] = ROTL64(s[18], 21);
|
||||
s[18] = ROTL64(s[17], 15);
|
||||
s[17] = ROTL64(s[11], 10);
|
||||
s[11] = ROTL64(s[ 7], 6);
|
||||
s[ 7] = ROTL64(s[10], 3);
|
||||
s[10] = ROTL64( v, 1);
|
||||
|
||||
/* chi: a[i,j] ^= ~b[i,j+1] & b[i,j+2] */
|
||||
v = s[ 0]; w = s[ 1]; s[ 0] ^= (~w) & s[ 2]; s[ 1] ^= (~s[ 2]) & s[ 3]; s[ 2] ^= (~s[ 3]) & s[ 4]; s[ 3] ^= (~s[ 4]) & v; s[ 4] ^= (~v) & w;
|
||||
v = s[ 5]; w = s[ 6]; s[ 5] ^= (~w) & s[ 7]; s[ 6] ^= (~s[ 7]) & s[ 8]; s[ 7] ^= (~s[ 8]) & s[ 9]; s[ 8] ^= (~s[ 9]) & v; s[ 9] ^= (~v) & w;
|
||||
v = s[10]; w = s[11]; s[10] ^= (~w) & s[12]; s[11] ^= (~s[12]) & s[13]; s[12] ^= (~s[13]) & s[14]; s[13] ^= (~s[14]) & v; s[14] ^= (~v) & w;
|
||||
v = s[15]; w = s[16]; s[15] ^= (~w) & s[17]; s[16] ^= (~s[17]) & s[18]; s[17] ^= (~s[18]) & s[19]; s[18] ^= (~s[19]) & v; s[19] ^= (~v) & w;
|
||||
v = s[20]; w = s[21]; s[20] ^= (~w) & s[22]; s[21] ^= (~s[22]) & s[23]; s[22] ^= (~s[23]) & s[24]; s[23] ^= (~s[24]) & v; s[24] ^= (~v) & w;
|
||||
|
||||
/* iota: a[0,0] ^= round constant */
|
||||
s[0] ^= keccak_round_constants[i];
|
||||
}
|
||||
}
|
||||
|
||||
__global__ void quark_keccak512_gpu_hash_64(int threads, uint32_t startNounce, uint64_t *g_hash, uint32_t *g_nonceVector)
|
||||
{
|
||||
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
|
||||
if (thread < threads)
|
||||
{
|
||||
uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);
|
||||
|
||||
int hashPosition = nounce - startNounce;
|
||||
uint32_t *inpHash = (uint32_t*)&g_hash[8 * hashPosition];
|
||||
|
||||
// Nachricht kopieren
|
||||
uint32_t message[18];
|
||||
#pragma unroll 16
|
||||
for(int i=0;i<16;i++)
|
||||
message[i] = inpHash[i];
|
||||
|
||||
message[16] = 0x01;
|
||||
message[17] = 0x80000000;
|
||||
|
||||
// State initialisieren
|
||||
uint64_t keccak_gpu_state[25];
|
||||
#pragma unroll 25
|
||||
for (int i=0; i<25; i++)
|
||||
keccak_gpu_state[i] = 0;
|
||||
|
||||
// den Block einmal gut durchschütteln
|
||||
keccak_block(keccak_gpu_state, message, c_keccak_round_constants);
|
||||
|
||||
// das Hash erzeugen
|
||||
uint32_t hash[16];
|
||||
|
||||
#pragma unroll 8
|
||||
for (size_t i = 0; i < 64; i += 8) {
|
||||
U64TO32_LE((&hash[i/4]), keccak_gpu_state[i / 8]);
|
||||
}
|
||||
|
||||
// fertig
|
||||
uint32_t *outpHash = (uint32_t*)&g_hash[8 * hashPosition];
|
||||
|
||||
#pragma unroll 16
|
||||
for(int i=0;i<16;i++)
|
||||
outpHash[i] = hash[i];
|
||||
}
|
||||
}
|
||||
|
||||
// Setup-Funktionen
|
||||
__host__ void quark_keccak512_cpu_init(int thr_id, int threads)
|
||||
{
|
||||
// Kopiere die Hash-Tabellen in den GPU-Speicher
|
||||
cudaMemcpyToSymbol( c_keccak_round_constants,
|
||||
host_keccak_round_constants,
|
||||
sizeof(host_keccak_round_constants),
|
||||
0, cudaMemcpyHostToDevice);
|
||||
}
|
||||
|
||||
__host__ void quark_keccak512_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order)
|
||||
{
|
||||
const 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
|
||||
size_t shared_size = 0;
|
||||
|
||||
quark_keccak512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
|
||||
MyStreamSynchronize(NULL, order, thr_id);
|
||||
}
|
||||
|
@ -289,7 +289,7 @@ extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int t
|
||||
}
|
||||
|
||||
static __constant__ uint64_t d_constMem[8];
|
||||
static uint64_t h_constMem[8] = {
|
||||
static const uint64_t h_constMem[8] = {
|
||||
SPH_C64(0x4903ADFF749C51CE),
|
||||
SPH_C64(0x0D95DE399746DF03),
|
||||
SPH_C64(0x8FD1934127C79BCE),
|
||||
|
4
util.c
4
util.c
@ -1364,6 +1364,10 @@ void print_hash_tests(void)
|
||||
fresh_hash(&hash[0], &buf[0]);
|
||||
printf("\nfresh: "); print_hash(hash);
|
||||
|
||||
memset(hash, 0, sizeof hash);
|
||||
wcoinhash(&hash[0], &buf[0]);
|
||||
printf("\nwhirlc: "); print_hash(hash);
|
||||
|
||||
memset(hash, 0, sizeof hash);
|
||||
x11hash(&hash[0], &buf[0]);
|
||||
printf("\nX11: "); print_hash(hash);
|
||||
|
@ -90,8 +90,8 @@ typedef struct {
|
||||
b0 ^= c1;
|
||||
|
||||
/* initial values of chaining variables */
|
||||
__device__ __constant__
|
||||
const uint32_t c_IV[40] = {
|
||||
__device__ __constant__ uint32_t c_IV[40];
|
||||
const uint32_t h_IV[40] = {
|
||||
0x6d251e69,0x44b051e0,0x4eaa6fb4,0xdbf78465,
|
||||
0x6e292011,0x90152df4,0xee058139,0xdef610bb,
|
||||
0xc3b44b95,0xd9d2f256,0x70eee9a0,0xde099fa3,
|
||||
@ -103,8 +103,8 @@ const uint32_t c_IV[40] = {
|
||||
0x6c68e9be,0x5ec41e22,0xc825b7c7,0xaffb4363,
|
||||
0xf5df3999,0x0fc688f1,0xb07224cc,0x03e86cea};
|
||||
|
||||
__device__ __constant__
|
||||
uint32_t c_CNS[80] = {
|
||||
__device__ __constant__ uint32_t c_CNS[80];
|
||||
const uint32_t h_CNS[80] = {
|
||||
0x303994a6,0xe0337818,0xc0e65299,0x441ba90d,
|
||||
0x6cc33a12,0x7f34d442,0xdc56983e,0x9389217f,
|
||||
0x1e00108f,0xe5a8bce6,0x7800423d,0x5274baf4,
|
||||
@ -356,6 +356,8 @@ __global__ void x11_luffa512_gpu_hash_64(int threads, uint32_t startNounce, uint
|
||||
// Setup-Funktionen
|
||||
__host__ void x11_luffa512_cpu_init(int thr_id, int threads)
|
||||
{
|
||||
cudaMemcpyToSymbol(c_IV, h_IV, sizeof(h_IV), 0, cudaMemcpyHostToDevice);
|
||||
cudaMemcpyToSymbol(c_CNS, h_CNS, sizeof(h_CNS), 0, cudaMemcpyHostToDevice);
|
||||
}
|
||||
|
||||
__host__ void x11_luffa512_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order)
|
||||
|
117
x15/whirlcoin.cu
Normal file
117
x15/whirlcoin.cu
Normal file
@ -0,0 +1,117 @@
|
||||
/*
|
||||
* whirlpool routine (djm)
|
||||
*/
|
||||
extern "C"
|
||||
{
|
||||
#include "sph/sph_whirlpool.h"
|
||||
#include "miner.h"
|
||||
}
|
||||
|
||||
// from cpu-miner.c
|
||||
extern int device_map[8];
|
||||
extern bool opt_benchmark;
|
||||
|
||||
// Speicher für Input/Output der verketteten Hashfunktionen
|
||||
static uint32_t *d_hash[8];
|
||||
|
||||
extern void x15_whirlpool_cpu_init(int thr_id, int threads, int mode);
|
||||
extern void whirlpool512_setBlock_80(void *pdata, const void *ptarget);
|
||||
extern void whirlpool512_cpu_hash_80(int thr_id, int threads, uint32_t startNounce, uint32_t *d_hash, int order);
|
||||
extern void x15_whirlpool_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order);
|
||||
extern uint32_t whirlpool512_cpu_finalhash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order);
|
||||
|
||||
extern void cuda_check_cpu_init(int thr_id, int threads);
|
||||
extern void cuda_check_cpu_setTarget(const void *ptarget);
|
||||
extern uint32_t cuda_check_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_inputHash, int order);
|
||||
|
||||
// CPU Hash function
|
||||
extern "C" void wcoinhash(void *state, const void *input)
|
||||
{
|
||||
sph_whirlpool_context ctx_whirlpool;
|
||||
|
||||
uint32_t hash[16];
|
||||
|
||||
// shavite 1
|
||||
sph_whirlpool1_init(&ctx_whirlpool);
|
||||
sph_whirlpool1(&ctx_whirlpool, input, 80);
|
||||
sph_whirlpool1_close(&ctx_whirlpool, (void*) hash);
|
||||
|
||||
sph_whirlpool1_init(&ctx_whirlpool);
|
||||
sph_whirlpool1(&ctx_whirlpool, (const void*) hash, 64);
|
||||
sph_whirlpool1_close(&ctx_whirlpool, (void*) hash);
|
||||
|
||||
sph_whirlpool1_init(&ctx_whirlpool);
|
||||
sph_whirlpool1(&ctx_whirlpool, (const void*) hash, 64);
|
||||
sph_whirlpool1_close(&ctx_whirlpool, (void*) hash);
|
||||
|
||||
sph_whirlpool1_init(&ctx_whirlpool);
|
||||
sph_whirlpool1(&ctx_whirlpool, (const void*) hash, 64);
|
||||
sph_whirlpool1_close(&ctx_whirlpool, (void*) hash);
|
||||
|
||||
memcpy(state, hash, 32);
|
||||
}
|
||||
|
||||
extern "C" int scanhash_whc(int thr_id, uint32_t *pdata,
|
||||
const uint32_t *ptarget, uint32_t max_nonce,
|
||||
unsigned long *hashes_done)
|
||||
{
|
||||
const uint32_t first_nonce = pdata[19];
|
||||
const int throughput = 256*256*8;
|
||||
static bool init[8] = {0,0,0,0,0,0,0,0};
|
||||
uint32_t endiandata[20];
|
||||
uint32_t Htarg = ptarget[7];
|
||||
|
||||
if (opt_benchmark)
|
||||
((uint32_t*)ptarget)[7] = Htarg = 0x0000ff;
|
||||
|
||||
if (!init[thr_id]) {
|
||||
cudaSetDevice(device_map[thr_id]);
|
||||
// Konstanten kopieren, Speicher belegen
|
||||
cudaMalloc(&d_hash[thr_id], 16 * sizeof(uint32_t) * throughput);
|
||||
x15_whirlpool_cpu_init(thr_id, throughput,1);
|
||||
|
||||
init[thr_id] = true;
|
||||
}
|
||||
|
||||
for (int k=0; k < 20; k++) {
|
||||
be32enc(&endiandata[k], ((uint32_t*)pdata)[k]);
|
||||
}
|
||||
|
||||
whirlpool512_setBlock_80((void*)endiandata, ptarget);
|
||||
|
||||
do {
|
||||
uint32_t foundNonce;
|
||||
int order = 0;
|
||||
|
||||
whirlpool512_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
|
||||
x15_whirlpool_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
|
||||
x15_whirlpool_cpu_hash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
|
||||
|
||||
foundNonce = whirlpool512_cpu_finalhash_64(thr_id, throughput, pdata[19], NULL, d_hash[thr_id], order++);
|
||||
if (foundNonce != 0xffffffff)
|
||||
{
|
||||
uint32_t vhash64[8];
|
||||
be32enc(&endiandata[19], foundNonce);
|
||||
|
||||
wcoinhash(vhash64, endiandata);
|
||||
|
||||
if (vhash64[7] <= Htarg && fulltest(vhash64, ptarget))
|
||||
{
|
||||
pdata[19] = foundNonce;
|
||||
*hashes_done = foundNonce - first_nonce + 1;
|
||||
return 1;
|
||||
}
|
||||
else if (vhash64[7] > Htarg) {
|
||||
applog(LOG_INFO, "GPU #%d: result for %08x is not in range: %x > %x", thr_id, foundNonce, vhash64[7], Htarg);
|
||||
}
|
||||
else {
|
||||
applog(LOG_INFO, "GPU #%d: result for %08x does not validate on CPU!", thr_id, foundNonce);
|
||||
}
|
||||
}
|
||||
pdata[19] += throughput;
|
||||
|
||||
} while (pdata[19] < max_nonce && !work_restart[thr_id].restart);
|
||||
|
||||
*hashes_done = pdata[19] - first_nonce + 1;
|
||||
return 0;
|
||||
}
|
Loading…
Reference in New Issue
Block a user