lyra2v2: add support for SM 2.1 devices

and improve a bit SM 3 perf

bench.cpp

@@ -103,7 +103,6 @@ bool bench_algo_switch_next(int thr_id)
 		if (algo == ALGO_GROESTL) algo++;
 		if (algo == ALGO_MYR_GR) algo++;
 		if (algo == ALGO_JACKPOT) algo++; // compact shuffle
-		if (algo == ALGO_LYRA2v2) algo++;
 		if (algo == ALGO_NEOSCRYPT) algo++;
 		if (algo == ALGO_WHIRLPOOLX) algo++;
 	}

lyra2/cuda_lyra2_vectors.h

@@ -12,6 +12,10 @@
 
 #include "cuda_helper.h"
 
+#if __CUDA_ARCH__ < 300
+#define __shfl(x, y) (x)
+#endif
+
 #if __CUDA_ARCH__ < 320 && !defined(__ldg4)
 #define __ldg4(x) (*(x))
 #endif
@@ -545,6 +549,7 @@ static __forceinline__ __device__ uint16 swapvec(const uint16 &buf)
 
 static __device__ __forceinline__ uint28 shuffle4(const uint28 &var, int lane)
 {
+#if __CUDA_ARCH__ >= 300
 	uint28 res;
 	res.x.x = __shfl(var.x.x, lane);
 	res.x.y = __shfl(var.x.y, lane);
@@ -555,10 +560,14 @@ static __device__ __forceinline__ uint28 shuffle4(const uint28 &var, int lane)
 	res.w.x = __shfl(var.w.x, lane);
 	res.w.y = __shfl(var.w.y, lane);
 	return res;
+#else
+	return var;
+#endif
 }
 
 static __device__ __forceinline__ ulonglong4 shuffle4(ulonglong4 var, int lane)
 {
+#if __CUDA_ARCH__ >= 300
 	ulonglong4 res;
     uint2 temp;
 	temp = vectorize(var.x);
@@ -578,6 +587,9 @@ static __device__ __forceinline__ ulonglong4 shuffle4(ulonglong4 var, int lane)
 	temp.y = __shfl(temp.y, lane);
 	res.w = devectorize(temp);
 	return res;
+#else
+	return var;
+#endif
 }
 
 #endif // #ifndef CUDA_LYRA_VECTOR_H

lyra2/cuda_lyra2v2.cu

@@ -342,7 +342,7 @@ void lyra2v2_gpu_hash_32(const uint32_t threads, uint32_t startNounce, uint2 *g_
 }
 #else
 #include "cuda_helper.h"
-#if __CUDA_ARCH__ < 300
+#if __CUDA_ARCH__ < 200
 __device__ void* DMatrix;
 #endif
 __global__ void lyra2v2_gpu_hash_32(const uint32_t threads, uint32_t startNounce, uint2 *g_hash) {}
@@ -362,9 +362,10 @@ void lyra2v2_cpu_hash_32(int thr_id, uint32_t threads, uint32_t startNounce, uin
 	int dev_id = device_map[thr_id % MAX_GPUS];
 	uint32_t tpb = TPB52;
 
-	if (device_sm[dev_id] == 500 || cuda_arch[dev_id] == 500) tpb = TPB50;
-	else if (device_sm[dev_id] == 350 || cuda_arch[dev_id] == 350) tpb = TPB35;
-	else if (device_sm[dev_id] < 350 || cuda_arch[dev_id] < 350) tpb = TPB30;
+	if (cuda_arch[dev_id] == 500) tpb = TPB50;
+	else if (cuda_arch[dev_id] >= 350) tpb = TPB35;
+	else if (cuda_arch[dev_id] >= 300) tpb = TPB30;
+	else if (cuda_arch[dev_id] >= 200) tpb = TPB20;
 
 	dim3 grid((threads + tpb - 1) / tpb);
 	dim3 block(tpb);

lyra2/cuda_lyra2v2_sm3.cuh

@@ -1,4 +1,4 @@
-/* SM 3/3.5 Variant for lyra2REv2 */
+/* SM 2/3/3.5 Variant for lyra2REv2 */
 
 #ifdef __INTELLISENSE__
 /* just for vstudio code colors */
@@ -6,10 +6,11 @@
 #define __CUDA_ARCH__ 350
 #endif
 
-#define TPB30 16
+#define TPB20 64
+#define TPB30 64
 #define TPB35 64
 
-#if __CUDA_ARCH__ >= 300 && __CUDA_ARCH__ < 500
+#if __CUDA_ARCH__ >= 200 && __CUDA_ARCH__ < 500
 
 #include "cuda_lyra2_vectors.h"
 
@@ -165,6 +166,7 @@ void reduceDuplexRowtV3(const int rowIn, const int rowInOut, const int rowOut, v
 	}
 }
 
+#if __CUDA_ARCH__ >= 300
 __global__ __launch_bounds__(TPB35, 1)
 void lyra2v2_gpu_hash_32_v3(uint32_t threads, uint32_t startNounce, uint2 *outputHash)
 {
@@ -177,14 +179,14 @@ void lyra2v2_gpu_hash_32_v3(uint32_t threads, uint32_t startNounce, uint2 *outpu
 	if (threadIdx.x == 0) {
 
 		((uint16*)blake2b_IV)[0] = make_uint16(
-			0xf3bcc908, 0x6a09e667 , 0x84caa73b, 0xbb67ae85 ,
-			0xfe94f82b, 0x3c6ef372 , 0x5f1d36f1, 0xa54ff53a ,
-			0xade682d1, 0x510e527f , 0x2b3e6c1f, 0x9b05688c ,
+			0xf3bcc908, 0x6a09e667 , 0x84caa73b, 0xbb67ae85,
+			0xfe94f82b, 0x3c6ef372 , 0x5f1d36f1, 0xa54ff53a,
+			0xade682d1, 0x510e527f , 0x2b3e6c1f, 0x9b05688c,
 			0xfb41bd6b, 0x1f83d9ab , 0x137e2179, 0x5be0cd19
 		);
 		((uint16*)padding)[0] = make_uint16(
-			 0x20, 0x0 , 0x20, 0x0 , 0x20, 0x0 , 0x01, 0x0 ,
-			 0x04, 0x0 , 0x04, 0x0 , 0x80, 0x0 , 0x0, 0x01000000
+			0x20, 0x0 , 0x20, 0x0 , 0x20, 0x0 , 0x01, 0x0,
+			0x04, 0x0 , 0x04, 0x0 , 0x80, 0x0 , 0x0, 0x01000000
 		);
 	}
 
@@ -194,6 +196,7 @@ void lyra2v2_gpu_hash_32_v3(uint32_t threads, uint32_t startNounce, uint2 *outpu
 		((uint2*)state)[1] = __ldg(&outputHash[thread + threads]);
 		((uint2*)state)[2] = __ldg(&outputHash[thread + 2 * threads]);
 		((uint2*)state)[3] = __ldg(&outputHash[thread + 3 * threads]);
+
 		state[1] = state[0];
 		state[2] = shuffle4(((vectype*)blake2b_IV)[0], 0);
 		state[3] = shuffle4(((vectype*)blake2b_IV)[1], 0);
@@ -246,9 +249,90 @@ void lyra2v2_gpu_hash_32_v3(uint32_t threads, uint32_t startNounce, uint2 *outpu
 
 	} //thread
 }
+#elif __CUDA_ARCH__ >= 200
+__global__ __launch_bounds__(TPB20, 1)
+void lyra2v2_gpu_hash_32_v3(uint32_t threads, uint32_t startNounce, uint2 *outputHash)
+{
+	uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
+
+	vectype state[4];
+	vectype blake2b_IV[2];
+	vectype padding[2];
+
+	((uint16*)blake2b_IV)[0] = make_uint16(
+		0xf3bcc908, 0x6a09e667, 0x84caa73b, 0xbb67ae85,
+		0xfe94f82b, 0x3c6ef372, 0x5f1d36f1, 0xa54ff53a,
+		0xade682d1, 0x510e527f, 0x2b3e6c1f, 0x9b05688c,
+		0xfb41bd6b, 0x1f83d9ab, 0x137e2179, 0x5be0cd19
+	);
+	((uint16*)padding)[0] = make_uint16(
+		0x20, 0x0, 0x20, 0x0, 0x20, 0x0, 0x01, 0x0,
+		0x04, 0x0, 0x04, 0x0, 0x80, 0x0, 0x0, 0x01000000
+	);
+
+	if (thread < threads)
+	{
+
+		((uint2*)state)[0] = outputHash[thread];
+		((uint2*)state)[1] = outputHash[thread + threads];
+		((uint2*)state)[2] = outputHash[thread + 2 * threads];
+		((uint2*)state)[3] = outputHash[thread + 3 * threads];
+
+		state[1] = state[0];
+		state[2] = ((vectype*)blake2b_IV)[0];
+		state[3] = ((vectype*)blake2b_IV)[1];
+
+		for (int i = 0; i<12; i++)
+			round_lyra_v35(state);
+
+		state[0] ^= ((vectype*)padding)[0];
+		state[1] ^= ((vectype*)padding)[1];
+
+		for (int i = 0; i<12; i++)
+			round_lyra_v35(state);
+
+		uint32_t ps1 = (4 * memshift * 3 + 16 * memshift * thread);
+
+		//#pragma unroll 4
+		for (int i = 0; i < 4; i++)
+		{
+			uint32_t s1 = ps1 - 4 * memshift * i;
+			for (int j = 0; j < 3; j++)
+				(DMatrix + s1)[j] = (state)[j];
+
+			round_lyra_v35(state);
+		}
+
+		reduceDuplexV3(state, thread);
+		reduceDuplexRowSetupV3(1, 0, 2, state, thread);
+		reduceDuplexRowSetupV3(2, 1, 3, state, thread);
+
+		uint32_t rowa;
+		int prev = 3;
+		for (int i = 0; i < 4; i++)
+		{
+			rowa = ((uint2*)state)[0].x & 3;  reduceDuplexRowtV3(prev, rowa, i, state, thread);
+			prev = i;
+		}
+
+		uint32_t shift = (memshift * rowa + 16 * memshift * thread);
+
+		for (int j = 0; j < 3; j++)
+			state[j] ^= __ldg4(&(DMatrix + shift)[j]);
+
+		for (int i = 0; i < 12; i++)
+			round_lyra_v35(state);
+
+		outputHash[thread] = ((uint2*)state)[0];
+		outputHash[thread + threads] = ((uint2*)state)[1];
+		outputHash[thread + 2 * threads] = ((uint2*)state)[2];
+		outputHash[thread + 3 * threads] = ((uint2*)state)[3];
+
+	} //thread
+}
+#endif
 
 #else
-/* if __CUDA_ARCH__ < 300 .. */
+/* host & sm5+ */
 __global__ void lyra2v2_gpu_hash_32_v3(uint32_t threads, uint32_t startNounce, uint2 *outputHash) {}
 #endif
-

lyra2/lyra2REv2.cu

@@ -73,6 +73,21 @@ void lyra2v2_hash(void *state, const void *input)
 	memcpy(state, hashA, 32);
 }
 
+#ifdef _DEBUG
+#define TRACE(algo) { \
+	if (max_nonce == 1 && pdata[19] <= 1) { \
+		uint32_t* debugbuf = NULL; \
+		cudaMallocHost(&debugbuf, 32); \
+		cudaMemcpy(debugbuf, d_hash[thr_id], 32, cudaMemcpyDeviceToHost); \
+		printf("lyra2 %s %08x %08x %08x %08x...%08x... \n", algo, swab32(debugbuf[0]), swab32(debugbuf[1]), \
+			swab32(debugbuf[2]), swab32(debugbuf[3]), swab32(debugbuf[7])); \
+		cudaFreeHost(debugbuf); \
+	} \
+}
+#else
+#define TRACE(algo) {}
+#endif
+
 static bool init[MAX_GPUS] = { 0 };
 
 extern "C" int scanhash_lyra2v2(int thr_id, struct work* work, uint32_t max_nonce, unsigned long *hashes_done)
@@ -113,12 +128,6 @@ extern "C" int scanhash_lyra2v2(int thr_id, struct work* work, uint32_t max_nonc
 
 		CUDA_SAFE_CALL(cudaMalloc(&d_hash[thr_id], (size_t)32 * throughput));
 
-		if (device_sm[dev_id] < 300) {
-			gpulog(LOG_ERR, thr_id, "Device SM 3.0 or more recent required!");
-			proper_exit(1);
-			return -1;
-		}
-
 		api_set_throughput(thr_id, throughput);
 		init[thr_id] = true;
 	}
@@ -135,11 +144,17 @@ extern "C" int scanhash_lyra2v2(int thr_id, struct work* work, uint32_t max_nonc
 		uint32_t foundNonces[2] = { 0, 0 };
 
 		blake256_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		TRACE("blake  :");
 		keccak256_cpu_hash_32(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		TRACE("keccak :");
 		cubehash256_cpu_hash_32(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		TRACE("cube   :");
 		lyra2v2_cpu_hash_32(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		TRACE("lyra2  :");
 		skein256_cpu_hash_32(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
+		TRACE("skein  :");
 		cubehash256_cpu_hash_32(thr_id, throughput,pdata[19], d_hash[thr_id], order++);
+		TRACE("cube   :");
 
 		bmw256_cpu_hash_32(thr_id, throughput, pdata[19], d_hash[thr_id], foundNonces);
 
@@ -181,7 +196,7 @@ extern "C" int scanhash_lyra2v2(int thr_id, struct work* work, uint32_t max_nonc
 		}
 		pdata[19] += throughput;
 
-	} while (!work_restart[thr_id].restart);
+	} while (!work_restart[thr_id].restart && !abort_flag);
 
 	*hashes_done = pdata[19] - first_nonce;
 	return 0;