Add pentablake algo (-a penta)

Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>

Makefile.am

@@ -33,7 +33,7 @@ ccminer_SOURCES		= elist.h miner.h compat.h \
 			  quark/cuda_jh512.cu quark/cuda_quark_blake512.cu quark/cuda_quark_groestl512.cu quark/cuda_skein512.cu \
 			  quark/cuda_bmw512.cu quark/cuda_quark_keccak512.cu quark/quarkcoin.cu quark/animecoin.cu \
 			  quark/cuda_quark_compactionTest.cu \
-			  cuda_nist5.cu blake32.cu \
+			  cuda_nist5.cu blake32.cu pentablake.cu \
 			  sph/bmw.c sph/blake.c sph/groestl.c sph/jh.c sph/keccak.c sph/skein.c \
 			  sph/cubehash.c sph/echo.c sph/luffa.c sph/sha2.c sph/shavite.c sph/simd.c \
 			  sph/hamsi.c sph/hamsi_helper.c sph/sph_hamsi.h \

blake32.cu

@@ -362,6 +362,7 @@ extern "C" int scanhash_blake256(int thr_id, uint32_t *pdata, const uint32_t *pt
 					blake256hash(vhashcpu, endiandata, blakerounds);
 					if (vhashcpu[7] <= Htarg && fulltest(vhashcpu, ptarget)) {
 						applog(LOG_NOTICE, "GPU found more than one result yippee!");
+						rc = 2;
 					} else {
 						extra_results[0] = MAXU;
 					}
@@ -380,9 +381,14 @@ extern "C" int scanhash_blake256(int thr_id, uint32_t *pdata, const uint32_t *pt
 			}
 		}
 
+		if ((uint64_t) pdata[19] + throughput > (uint64_t) max_nonce) {
+			pdata[19] = max_nonce - first_nonce + 1;
+			break;
+		}
+
 		pdata[19] += throughput;
 
-	} while (pdata[19] < max_nonce && !work_restart[thr_id].restart);
+	} while (!work_restart[thr_id].restart);
 
 exit_scan:
 	*hashes_done = pdata[19] - first_nonce + 1;
@@ -395,6 +401,6 @@ exit_scan:
 	}
 #endif
 	// wait proper end of all threads
-	cudaDeviceSynchronize();
+	//cudaDeviceSynchronize();
 	return rc;
 }

ccminer.vcxproj

@@ -405,6 +405,12 @@ copy "$(CudaToolkitBinDir)\cudart64*.dll" "$(OutDir)"</Command>
       <AdditionalOptions Condition="'$(Configuration)'=='Debug'">%(AdditionalOptions)</AdditionalOptions>
       <FastMath>true</FastMath>
     </CudaCompile>
+    <CudaCompile Include="pentablake.cu">
+      <MaxRegCount>80</MaxRegCount>
+      <AdditionalOptions Condition="'$(Configuration)'=='Release'">--ptxas-options="-O2 -dlcm=cg" %(AdditionalOptions)</AdditionalOptions>
+      <AdditionalOptions Condition="'$(Configuration)'=='Debug'">%(AdditionalOptions)</AdditionalOptions>
+      <FastMath>true</FastMath>
+    </CudaCompile>
     <CudaCompile Include="quark\animecoin.cu">
       <AdditionalOptions Condition="'$(Configuration)'=='Release'">--ptxas-options=-O2 %(AdditionalOptions)</AdditionalOptions>
       <AdditionalOptions Condition="'$(Configuration)'=='Debug'">%(AdditionalOptions)</AdditionalOptions>

ccminer.vcxproj.filters

@@ -445,5 +445,8 @@
     <CudaCompile Include="blake32.cu">
       <Filter>Source Files\CUDA</Filter>
     </CudaCompile>
+    <CudaCompile Include="pentablake.cu">
+      <Filter>Source Files\CUDA</Filter>
+    </CudaCompile>
   </ItemGroup>
 </Project>

cpu-miner.c

@@ -136,8 +136,9 @@ typedef enum {
 	ALGO_JACKPOT,
 	ALGO_MJOLLNIR,		/* Mjollnir hash */
 	ALGO_MYR_GR,
-	ALGO_QUARK,
 	ALGO_NIST5,
+	ALGO_PENTABLAKE,
+	ALGO_QUARK,
 	ALGO_WHC,
 	ALGO_X11,
 	ALGO_X13,
@@ -159,6 +160,7 @@ static const char *algo_names[] = {
 	"mjollnir",
 	"myr-gr",
 	"nist5",
+	"penta",
 	"quark",
 	"whirl",
 	"x11",
@@ -242,6 +244,7 @@ Options:\n\
                         mjollnir  Mjollnircoin hash\n\
                         myr-gr    Myriad-Groestl hash\n\
                         nist5     NIST5 (TalkCoin) hash\n\
+                        penta     Pentablake hash (5x Blake 512)\n\
                         quark     Quark hash\n\
                         whirl     Whirlcoin (old whirlpool)\n\
                         x11       X11 (DarkCoin) hash\n\
@@ -1089,6 +1092,11 @@ static void *miner_thread(void *userdata)
 			                      max_nonce, &hashes_done);
 			break;
 
+		case ALGO_PENTABLAKE:
+			rc = scanhash_pentablake(thr_id, work.data, work.target,
+			                      max_nonce, &hashes_done);
+			break;
+
 		case ALGO_WHC:
 			rc = scanhash_whc(thr_id, work.data, work.target,
 			                      max_nonce, &hashes_done);

miner.h

@@ -249,6 +249,10 @@ extern int scanhash_nist5(int thr_id, uint32_t *pdata,
 	const uint32_t *ptarget, uint32_t max_nonce,
 	unsigned long *hashes_done);
 
+extern int scanhash_pentablake(int thr_id, uint32_t *pdata,
+	const uint32_t *ptarget, uint32_t max_nonce,
+	unsigned long *hashes_done);
+
 extern int scanhash_whc(int thr_id, uint32_t *pdata,
 	const uint32_t *ptarget, uint32_t max_nonce,
 	unsigned long *hashes_done);
@@ -284,6 +288,7 @@ struct work_restart {
 	char			padding[128 - sizeof(unsigned long)];
 };
 
+extern bool opt_benchmark;
 extern bool opt_debug;
 extern bool opt_debug_rpc;
 extern bool opt_quiet;
@@ -428,6 +433,7 @@ unsigned int jackpothash(void *state, const void *input);
 void groestlhash(void *state, const void *input);
 void myriadhash(void *state, const void *input);
 void nist5hash(void *state, const void *input);
+void pentablakehash(void *output, const void *input);
 void quarkhash(void *state, const void *input);
 void wcoinhash(void *state, const void *input);
 void x11hash(void *output, const void *input);

pentablake.cu

@@ -0,0 +1,600 @@
+/**
+ * Penta Blake-512 Cuda Kernel (Tested on SM 5.0)
+ *
+ * Tanguy Pruvot - Aug. 2014
+ */
+
+#include "miner.h"
+
+extern "C" {
+#include "sph/sph_blake.h"
+#include <stdint.h>
+#include <memory.h>
+}
+
+/* threads per block */
+#define TPB 192
+
+/* hash by cpu with blake 256 */
+extern "C" void pentablakehash(void *output, const void *input)
+{
+	unsigned char hash[128];
+	#define hashB hash + 64
+	sph_blake512_context ctx;
+
+	sph_blake512_init(&ctx);
+	sph_blake512(&ctx, input, 80);
+	sph_blake512_close(&ctx, hash);
+
+	sph_blake512(&ctx, hash, 64);
+	sph_blake512_close(&ctx, hashB);
+
+	sph_blake512(&ctx, hashB, 64);
+	sph_blake512_close(&ctx, hash);
+
+	sph_blake512(&ctx, hash, 64);
+	sph_blake512_close(&ctx, hashB);
+
+	sph_blake512(&ctx, hashB, 64);
+	sph_blake512_close(&ctx, hash);
+
+	memcpy(output, hash, 32);
+}
+
+#include "cuda_helper.h"
+
+#define MAXU 0xffffffffU
+
+// in cpu-miner.c
+extern bool opt_n_threads;
+extern bool opt_benchmark;
+extern int device_map[8];
+
+__constant__
+static uint32_t __align__(32) c_Target[8];
+
+__constant__
+static uint64_t __align__(32) c_data[32];
+
+static uint32_t *d_hash[8];
+static uint32_t *d_resNounce[8];
+static uint32_t *h_resNounce[8];
+static uint32_t extra_results[2] = { MAXU, MAXU };
+
+/* prefer uint32_t to prevent size conversions = speed +5/10 % */
+__constant__
+static uint32_t __align__(32) c_sigma[16][16];
+const uint32_t host_sigma[16][16] = {
+	{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 },
+	{14, 10, 4, 8, 9, 15, 13, 6, 1, 12, 0, 2, 11, 7, 5, 3 },
+	{11, 8, 12, 0, 5, 2, 15, 13, 10, 14, 3, 6, 7, 1, 9, 4 },
+	{ 7, 9, 3, 1, 13, 12, 11, 14, 2, 6, 5, 10, 4, 0, 15, 8 },
+	{ 9, 0, 5, 7, 2, 4, 10, 15, 14, 1, 11, 12, 6, 8, 3, 13 },
+	{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 },
+	{12, 5, 1, 15, 14, 13, 4, 10, 0, 7, 6, 3, 9, 2, 8, 11 },
+	{13, 11, 7, 14, 12, 1, 3, 9, 5, 0, 15, 4, 8, 6, 2, 10 },
+	{ 6, 15, 14, 9, 11, 3, 0, 8, 12, 2, 13, 7, 1, 4, 10, 5 },
+	{10, 2, 8, 4, 7, 6, 1, 5, 15, 11, 9, 14, 3, 12, 13 , 0 },
+	{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 },
+	{14, 10, 4, 8, 9, 15, 13, 6, 1, 12, 0, 2, 11, 7, 5, 3 },
+	{11, 8, 12, 0, 5, 2, 15, 13, 10, 14, 3, 6, 7, 1, 9, 4 },
+	{ 7, 9, 3, 1, 13, 12, 11, 14, 2, 6, 5, 10, 4, 0, 15, 8 },
+	{ 9, 0, 5, 7, 2, 4, 10, 15, 14, 1, 11, 12, 6, 8, 3, 13 },
+	{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 }
+};
+
+__device__ __constant__
+static const uint64_t __align__(32) c_IV512[8] = {
+	0x6a09e667f3bcc908ULL,
+	0xbb67ae8584caa73bULL,
+	0x3c6ef372fe94f82bULL,
+	0xa54ff53a5f1d36f1ULL,
+	0x510e527fade682d1ULL,
+	0x9b05688c2b3e6c1fULL,
+	0x1f83d9abfb41bd6bULL,
+	0x5be0cd19137e2179ULL
+};
+
+__device__ __constant__
+const uint64_t c_u512[16] =
+{
+	0x243f6a8885a308d3ULL, 0x13198a2e03707344ULL,
+	0xa4093822299f31d0ULL, 0x082efa98ec4e6c89ULL,
+	0x452821e638d01377ULL, 0xbe5466cf34e90c6cULL,
+	0xc0ac29b7c97c50ddULL, 0x3f84d5b5b5470917ULL,
+	0x9216d5d98979fb1bULL, 0xd1310ba698dfb5acULL,
+	0x2ffd72dbd01adfb7ULL, 0xb8e1afed6a267e96ULL,
+	0xba7c9045f12c7f99ULL, 0x24a19947b3916cf7ULL,
+	0x0801f2e2858efc16ULL, 0x636920d871574e69ULL
+};
+
+#define G(a,b,c,d,x) { \
+	uint32_t idx1 = c_sigma[i][x]; \
+	uint32_t idx2 = c_sigma[i][x+1]; \
+	v[a] += (m[idx1] ^ c_u512[idx2]) + v[b]; \
+	v[d] = ROTR64(v[d] ^ v[a], 32); \
+	v[c] += v[d]; \
+	v[b] = ROTR64(v[b] ^ v[c], 25); \
+	v[a] += (m[idx2] ^ c_u512[idx1]) + v[b]; \
+	v[d] = ROTR64(v[d] ^ v[a], 16); \
+	v[c] += v[d]; \
+	v[b] = ROTR64(v[b] ^ v[c], 11); \
+}
+
+// Hash-Padding
+__device__ __constant__
+static const uint64_t d_constHashPadding[8] = {
+	0x0000000000000080ull,
+	0,
+	0,
+	0,
+	0,
+	0x0100000000000000ull,
+	0,
+	0x0002000000000000ull
+};
+
+#if 0
+
+__device__ __constant__
+static const uint64_t __align__(32) c_Padding[16] = {
+	0, 0, 0, 0,
+	0x80000000ULL, 0, 0, 0,
+	0, 0, 0, 0,
+	0, 1, 0, 640,
+};
+
+__device__ static
+void pentablake_compress(uint64_t *h, const uint64_t *block, const uint32_t T0)
+{
+	uint64_t v[16], m[16];
+
+	m[0] = block[0];
+	m[1] = block[1];
+	m[2] = block[2];
+	m[3] = block[3];
+
+	for (uint32_t i = 4; i < 16; i++) {
+		m[i] = (T0 == 0x200) ? block[i] : c_Padding[i];
+	}
+
+	//#pragma unroll 8
+	for(uint32_t i = 0; i < 8; i++)
+		v[i] = h[i];
+
+	v[ 8] = c_u512[0];
+	v[ 9] = c_u512[1];
+	v[10] = c_u512[2];
+	v[11] = c_u512[3];
+
+	v[12] = xor1(c_u512[4], T0);
+	v[13] = xor1(c_u512[5], T0);
+	v[14] = c_u512[6];
+	v[15] = c_u512[7];
+
+	for (uint32_t i = 0; i < 16; i++) {
+		/* column step */
+		G(0, 4, 0x8, 0xC, 0x0);
+		G(1, 5, 0x9, 0xD, 0x2);
+		G(2, 6, 0xA, 0xE, 0x4);
+		G(3, 7, 0xB, 0xF, 0x6);
+		/* diagonal step */
+		G(0, 5, 0xA, 0xF, 0x8);
+		G(1, 6, 0xB, 0xC, 0xA);
+		G(2, 7, 0x8, 0xD, 0xC);
+		G(3, 4, 0x9, 0xE, 0xE);
+	}
+
+	//#pragma unroll 16
+	for (uint32_t i = 0; i < 16; i++) {
+		uint32_t j = i % 8;
+		h[j] ^= v[i];
+	}
+}
+
+__global__
+void pentablake_gpu_hash_80(uint32_t threads, uint32_t startNounce, uint32_t *resNounce)
+{
+	uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
+	if (thread < threads)
+	{
+		const uint32_t nounce = startNounce + thread;
+		uint64_t h[8];
+
+		#pragma unroll
+		for(int i=0; i<8; i++) {
+			h[i] = c_IV512[i];
+		}
+
+		uint64_t ending[4];
+		ending[0] = c_data[16];
+		ending[1] = c_data[17];
+		ending[2] = c_data[18];
+		ending[3] = nounce; /* our tested value */
+
+		pentablake_compress(h, ending, 640);
+
+		// -----------------------------------
+
+		for (int r = 0; r < 4; r++) {
+			uint64_t data[8];
+			for (int i = 0; i < 7; i++) {
+				data[i] = h[i];
+			}
+			pentablake_compress(h, data, 512); /* todo: use h,h when ok*/
+		}
+	}
+}
+#endif
+
+__device__ static
+void pentablake_compress(uint64_t *h, const uint64_t *block, const uint64_t T0)
+{
+	uint64_t v[16], m[16], i;
+
+	#pragma unroll 16
+	for(i = 0; i < 16; i++) {
+		m[i] = cuda_swab64(block[i]);
+	}
+
+	#pragma unroll 8
+	for (i = 0; i < 8; i++)
+		v[i] = h[i];
+
+	v[ 8] = c_u512[0];
+	v[ 9] = c_u512[1];
+	v[10] = c_u512[2];
+	v[11] = c_u512[3];
+	v[12] = c_u512[4] ^ T0;
+	v[13] = c_u512[5] ^ T0;
+	v[14] = c_u512[6];
+	v[15] = c_u512[7];
+
+	//#pragma unroll 16
+	for( i = 0; i < 16; i++)
+	{
+		/* column step */
+		G(0, 4, 0x8, 0xC, 0x0);
+		G(1, 5, 0x9, 0xD, 0x2);
+		G(2, 6, 0xA, 0xE, 0x4);
+		G(3, 7, 0xB, 0xF, 0x6);
+		/* diagonal step */
+		G(0, 5, 0xA, 0xF, 0x8);
+		G(1, 6, 0xB, 0xC, 0xA);
+		G(2, 7, 0x8, 0xD, 0xC);
+		G(3, 4, 0x9, 0xE, 0xE);
+	}
+
+	//#pragma unroll 16
+	for (i = 0; i < 16; i++) {
+		uint32_t idx = i % 8;
+		h[idx] ^= v[i];
+	}
+}
+
+__global__
+void pentablake_gpu_hash_80(int threads, const uint32_t startNounce, void *outputHash)
+{
+	int thread = (blockDim.x * blockIdx.x + threadIdx.x);
+	if (thread < threads)
+	{
+		uint64_t h[8];
+		uint64_t buf[16];
+		uint32_t nounce = startNounce + thread;
+
+		//#pragma unroll 8
+		for(int i=0; i<8; i++)
+			h[i] = c_IV512[i];
+
+		//#pragma unroll 16
+		for (int i=0; i < 16; i++)
+			buf[i] = c_data[i];
+
+		// The test Nonce
+		((uint32_t*)buf)[19] = cuda_swab32(nounce);
+
+		pentablake_compress(h, buf, 640ULL);
+
+#if __CUDA_ARCH__ < 300
+		uint32_t *outHash = (uint32_t *)outputHash + 16 * thread;
+		#pragma unroll 8
+		for (uint32_t i=0; i < 8; i++) {
+			outHash[2*i]   = cuda_swab32( _HIWORD(h[i]) );
+			outHash[2*i+1] = cuda_swab32( _LOWORD(h[i]) );
+		}
+#else
+		uint64_t *outHash = (uint64_t *)outputHash + 8 * thread;
+		for (uint32_t i=0; i < 8; i++) {
+			outHash[i] = cuda_swab64( h[i] );
+		}
+#endif
+
+	}
+}
+
+__host__
+void pentablake_cpu_hash_80(int thr_id, int threads, const uint32_t startNounce, uint32_t *d_outputHash, int order)
+{
+	const int threadsperblock = TPB;
+
+	dim3 grid((threads + threadsperblock-1)/threadsperblock);
+	dim3 block(threadsperblock);
+	size_t shared_size = 0;
+
+	pentablake_gpu_hash_80 <<<grid, block, shared_size>>> (threads, startNounce, d_outputHash);
+
+	//MyStreamSynchronize(NULL, order, thr_id);
+	cudaDeviceSynchronize();
+}
+
+
+__global__
+void pentablake_gpu_hash_64(int threads, uint32_t startNounce, uint64_t *g_hash)
+{
+	int thread = (blockDim.x * blockIdx.x + threadIdx.x);
+
+	if (thread < threads)
+	{
+		uint64_t *inpHash = &g_hash[thread<<3]; // hashPosition * 8
+		uint64_t buf[16]; // 128 Bytes
+		uint64_t h[8]; // State
+
+		#pragma unroll 8
+		for (int i=0; i<8; i++)
+			h[i] = c_IV512[i];
+
+		// Message for first round
+		#pragma unroll 8
+		for (int i=0; i < 8; ++i)
+			buf[i] = inpHash[i];
+
+		#pragma unroll 8
+		for (int i=0; i < 8; i++)
+			buf[i+8] = d_constHashPadding[i];
+
+		// Ending round
+		pentablake_compress(h, buf, 512);
+
+#if __CUDA_ARCH__ < 300
+		uint32_t *outHash = (uint32_t*)&g_hash[thread<<3];
+		#pragma unroll 8
+		for (int i=0; i < 8; i++) {
+			outHash[2*i+0] = cuda_swab32( _HIWORD(h[i]) );
+			outHash[2*i+1] = cuda_swab32( _LOWORD(h[i]) );
+		}
+#else
+		uint64_t *outHash = &g_hash[thread<<3];
+		for (int i=0; i < 8; i++) {
+			outHash[i] = cuda_swab64(h[i]);
+		}
+#endif
+	}
+}
+
+__host__
+void pentablake_cpu_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_outputHash, int order)
+{
+	const int threadsperblock = TPB;
+
+	dim3 grid((threads + threadsperblock-1)/threadsperblock);
+	dim3 block(threadsperblock);
+	size_t shared_size = 0;
+
+	pentablake_gpu_hash_64 <<<grid, block, shared_size>>> (threads, startNounce, (uint64_t*)d_outputHash);
+
+	//MyStreamSynchronize(NULL, order, thr_id);
+	cudaDeviceSynchronize();
+}
+
+#if 0
+
+__host__
+uint32_t pentablake_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce)
+{
+	const int threadsperblock = TPB;
+	uint32_t result = MAXU;
+
+	dim3 grid((threads + threadsperblock-1)/threadsperblock);
+	dim3 block(threadsperblock);
+	size_t shared_size = 0;
+
+	/* Check error on Ctrl+C or kill to prevent segfaults on exit */
+	if (cudaMemset(d_resNounce[thr_id], 0xff, 2*sizeof(uint32_t)) != cudaSuccess)
+		return result;
+
+	pentablake_gpu_hash_80<<<grid, block, shared_size>>>(threads, startNounce, d_resNounce[thr_id]);
+	cudaDeviceSynchronize();
+	if (cudaSuccess == cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], 2*sizeof(uint32_t), cudaMemcpyDeviceToHost)) {
+		cudaThreadSynchronize();
+		result = h_resNounce[thr_id][0];
+		extra_results[0] = h_resNounce[thr_id][1];
+	}
+	return result;
+}
+#endif
+
+__global__
+void pentablake_gpu_check_hash(uint32_t threads, uint32_t startNounce, uint32_t *g_hash, uint32_t *resNounce)
+{
+	uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
+	if (thread < threads)
+	{
+		uint32_t nounce = startNounce + thread;
+		uint32_t *inpHash = &g_hash[thread<<4];
+		uint32_t h[8];
+
+		#pragma unroll 8
+		for (int i=0; i < 8; i++)
+			h[i] = inpHash[i];
+
+		for (int i = 7; i >= 0; i--) {
+			uint32_t hash = h[i]; // cuda_swab32(h[i]);
+			if (hash > c_Target[i]) {
+				return;
+			}
+			if (hash < c_Target[i]) {
+				break;
+			}
+		}
+
+		/* keep the smallest nounce, + extra one if found */
+		if (resNounce[0] > nounce) {
+			resNounce[1] = resNounce[0];
+			resNounce[0] = nounce;
+		}
+		else
+			resNounce[1] = nounce;
+	}
+}
+
+__host__ static
+uint32_t pentablake_check_hash(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_inputHash, int order)
+{
+	const int threadsperblock = TPB;
+	uint32_t result = MAXU;
+
+	dim3 grid((threads + threadsperblock-1)/threadsperblock);
+	dim3 block(threadsperblock);
+	size_t shared_size = 0;
+
+	/* Check error on Ctrl+C or kill to prevent segfaults on exit */
+	if (cudaMemset(d_resNounce[thr_id], 0xff, 2*sizeof(uint32_t)) != cudaSuccess)
+		return result;
+
+	pentablake_gpu_check_hash <<<grid, block, shared_size>>> (threads, startNounce, d_inputHash, d_resNounce[thr_id]);
+
+	CUDA_SAFE_CALL(cudaDeviceSynchronize());
+	if (cudaSuccess == cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], 2*sizeof(uint32_t), cudaMemcpyDeviceToHost)) {
+		cudaThreadSynchronize();
+		result = h_resNounce[thr_id][0];
+		extra_results[0] = h_resNounce[thr_id][1];
+	}
+	return result;
+}
+
+
+__host__
+void pentablake_cpu_setBlock_80(uint32_t *pdata, const uint32_t *ptarget)
+{
+	uint8_t data[128];
+	memcpy((void*) data, (void*) pdata, 80);
+	memset(data+80, 0, 48);
+
+	// to swab...
+	data[80] = 0x80;
+	data[111] = 1;
+	data[126] = 0x02;
+	data[127] = 0x80;
+
+	CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_data, data, sizeof(data), 0, cudaMemcpyHostToDevice));
+	CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_sigma, host_sigma, sizeof(host_sigma), 0, cudaMemcpyHostToDevice));
+	CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_Target, ptarget, 32, 0, cudaMemcpyHostToDevice));
+}
+
+extern "C" int scanhash_pentablake(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];
+	static bool init[8] = { 0, 0, 0, 0, 0, 0, 0, 0 };
+	uint32_t throughput = min(128 * 2560, max_nonce - first_nonce);
+	uint32_t endiandata[20];
+	int rc = 0;
+
+	if (extra_results[0] != MAXU) {
+		// possible extra result found in previous call
+		if (first_nonce <= extra_results[0] && max_nonce >= extra_results[0]) {
+			pdata[19] = extra_results[0];
+			*hashes_done = pdata[19] - first_nonce + 1;
+			extra_results[0] = MAXU;
+			rc = 1;
+			goto exit_scan;
+		}
+	}
+
+	if (opt_benchmark)
+		((uint32_t*)ptarget)[7] = 0x000F;
+
+	if (!init[thr_id]) {
+		if (opt_n_threads > 1) {
+			CUDA_SAFE_CALL(cudaSetDevice(device_map[thr_id]));
+		}
+		CUDA_SAFE_CALL(cudaMalloc(&d_hash[thr_id], 64 * throughput));
+		CUDA_SAFE_CALL(cudaMallocHost(&h_resNounce[thr_id], 2*sizeof(uint32_t)));
+		CUDA_SAFE_CALL(cudaMalloc(&d_resNounce[thr_id], 2*sizeof(uint32_t)));
+
+		init[thr_id] = true;
+	}
+
+	for (int k=0; k < 20; k++)
+		be32enc(&endiandata[k], pdata[k]);
+
+	pentablake_cpu_setBlock_80(endiandata, ptarget);
+
+	do {
+		int order = 0;
+
+		// GPU HASH
+		pentablake_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+
+		pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		pentablake_cpu_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+
+		uint32_t foundNonce = pentablake_check_hash(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+
+		if (foundNonce != MAXU)
+		{
+			uint32_t vhashcpu[8];
+			uint32_t Htarg = ptarget[7];
+
+			be32enc(&endiandata[19], foundNonce);
+
+			pentablakehash(vhashcpu, endiandata);
+
+			if (vhashcpu[7] <= Htarg && fulltest(vhashcpu, ptarget))
+			{
+				pdata[19] = foundNonce;
+				rc = 1;
+
+				// Rare but possible if the throughput is big
+				be32enc(&endiandata[19], extra_results[0]);
+				pentablakehash(vhashcpu, endiandata);
+				if (vhashcpu[7] <= Htarg && fulltest(vhashcpu, ptarget)) {
+					applog(LOG_NOTICE, "GPU found more than one result yippee!");
+					rc = 2;
+				} else {
+					extra_results[0] = MAXU;
+				}
+
+				goto exit_scan;
+			}
+			else if (vhashcpu[7] > Htarg) {
+				applog(LOG_WARNING, "GPU #%d: result for nounce %08x is not in range: %x > %x", thr_id, foundNonce, vhashcpu[7], Htarg);
+			}
+			else if (vhashcpu[6] > ptarget[6]) {
+				applog(LOG_WARNING, "GPU #%d: hash[6] for nounce %08x is not in range: %x > %x", thr_id, foundNonce, vhashcpu[6], ptarget[6]);
+			}
+			else {
+				applog(LOG_WARNING, "GPU #%d: result for nounce %08x does not validate on CPU!", thr_id, foundNonce);
+			}
+		}
+
+		pdata[19] += throughput;
+
+	} while (pdata[19] < max_nonce && !work_restart[thr_id].restart);
+
+exit_scan:
+	*hashes_done = pdata[19] - first_nonce + 1;
+#if 0
+	/* reset the device to allow multiple instances
+	 * could be made in cpu-miner... check later if required */
+	if (opt_n_threads == 1) {
+		CUDA_SAFE_CALL(cudaDeviceReset());
+		init[thr_id] = false;
+	}
+#endif
+
+	cudaDeviceSynchronize();
+	return rc;
+}

util.c

@@ -1457,6 +1457,10 @@ void print_hash_tests(void)
 	nist5hash(&hash[0], &buf[0]);
 	printpfx("nist5", hash);
 
+	memset(hash, 0, sizeof hash);
+	pentablakehash(&hash[0], &buf[0]);
+	printpfx("pentablake", hash);
+
 	memset(hash, 0, sizeof hash);
 	quarkhash(&hash[0], &buf[0]);
 	printpfx("quark", hash);