ccminer/quark/cuda_quark_groestl512_sm20.cu

// SM 2.1 variant

// #include "cuda_helper.h"

#define MAXWELL_OR_FERMI 0
#define USE_SHARED 1

// #define SPH_C32(x)    ((uint32_t)(x ## U))
// #define SPH_T32(x)    ((x) & SPH_C32(0xFFFFFFFF))

#define PC32up(j, r)   ((uint32_t)((j) + (r)))
#define PC32dn(j, r)   0
#define QC32up(j, r)   0xFFFFFFFF
#define QC32dn(j, r)   (((uint32_t)(r) << 24) ^ SPH_T32(~((uint32_t)(j) << 24)))

#define B32_0(x)    __byte_perm(x, 0, 0x4440)
//((x) & 0xFF)
#define B32_1(x)    __byte_perm(x, 0, 0x4441)
//(((x) >> 8) & 0xFF)
#define B32_2(x)    __byte_perm(x, 0, 0x4442)
//(((x) >> 16) & 0xFF)
#define B32_3(x)    __byte_perm(x, 0, 0x4443)
//((x) >> 24)

// a healthy mix between shared and textured access provides the highest speed on Compute 3.0 and 3.5!
#define T0up(x) (*((uint32_t*)mixtabs + (    (x))))
#define T0dn(x) tex1Dfetch(t0dn1, x)
#define T1up(x) tex1Dfetch(t1up1, x)
#define T1dn(x) (*((uint32_t*)mixtabs + (768+(x))))
#define T2up(x) tex1Dfetch(t2up1, x)
#define T2dn(x) (*((uint32_t*)mixtabs + (1280+(x))))
#define T3up(x) (*((uint32_t*)mixtabs + (1536+(x))))
#define T3dn(x) tex1Dfetch(t3dn1, x)

texture<unsigned int, 1, cudaReadModeElementType> t0up1;
texture<unsigned int, 1, cudaReadModeElementType> t0dn1;
texture<unsigned int, 1, cudaReadModeElementType> t1up1;
texture<unsigned int, 1, cudaReadModeElementType> t1dn1;
texture<unsigned int, 1, cudaReadModeElementType> t2up1;
texture<unsigned int, 1, cudaReadModeElementType> t2dn1;
texture<unsigned int, 1, cudaReadModeElementType> t3up1;
texture<unsigned int, 1, cudaReadModeElementType> t3dn1;

extern uint32_t T0up_cpu[];
extern uint32_t T0dn_cpu[];
extern uint32_t T1up_cpu[];
extern uint32_t T1dn_cpu[];
extern uint32_t T2up_cpu[];
extern uint32_t T2dn_cpu[];
extern uint32_t T3up_cpu[];
extern uint32_t T3dn_cpu[];

#if __CUDA_ARCH__ < 300

__device__ __forceinline__
void quark_groestl512_perm_P(uint32_t *a, char *mixtabs)
{
	uint32_t t[32];

	for(int r=0; r<14; r++)
	{
		switch(r) {
		case 0:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 0); break;
		case 1:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 1); break;
		case 2:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 2); break;
		case 3:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 3); break;
		case 4:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 4); break;
		case 5:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 5); break;
		case 6:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 6); break;
		case 7:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 7); break;
		case 8:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 8); break;
		case 9:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 9); break;
		case 10:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 10); break;
		case 11:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 11); break;
		case 12:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 12); break;
		case 13:
			#pragma unroll 16
			for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 13); break;
		}

		// RBTT
		#pragma unroll 16
		for(int k=0;k<32;k+=2) {
			uint32_t t0_0 = B32_0(a[(k     ) & 0x1f]), t9_0  = B32_0(a[(k +  9) & 0x1f]);
			uint32_t t2_1 = B32_1(a[(k +  2) & 0x1f]), t11_1 = B32_1(a[(k + 11) & 0x1f]);
			uint32_t t4_2 = B32_2(a[(k +  4) & 0x1f]), t13_2 = B32_2(a[(k + 13) & 0x1f]);
			uint32_t t6_3 = B32_3(a[(k +  6) & 0x1f]), t23_3 = B32_3(a[(k + 23) & 0x1f]);

			t[k + 0] =  T0up( t0_0 ) ^ T1up(  t2_1 ) ^ T2up(  t4_2 ) ^ T3up(  t6_3 ) ^
						T0dn( t9_0 ) ^ T1dn( t11_1 ) ^ T2dn( t13_2 ) ^ T3dn( t23_3 );

			t[k + 1] =  T0dn( t0_0 ) ^ T1dn(  t2_1 ) ^ T2dn(  t4_2 ) ^ T3dn(  t6_3 ) ^
						T0up( t9_0 ) ^ T1up( t11_1 ) ^ T2up( t13_2 ) ^ T3up( t23_3 );
		}

		#pragma unroll 32
		for(int k=0; k<32; k++) {
			a[k] = t[k];
		}
	}
}

__device__ __forceinline__
void quark_groestl512_perm_Q(uint32_t *a, char *mixtabs)
{
	for(int r=0; r<14; r++)
	{
		uint32_t t[32];

		switch(r) {
		case 0:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 0); a[(k*2)+1] ^= QC32dn(k<< 4, 0);} break;
		case 1:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 1); a[(k*2)+1] ^= QC32dn(k<< 4, 1);} break;
		case 2:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 2); a[(k*2)+1] ^= QC32dn(k<< 4, 2);} break;
		case 3:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 3); a[(k*2)+1] ^= QC32dn(k<< 4, 3);} break;
		case 4:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 4); a[(k*2)+1] ^= QC32dn(k<< 4, 4);} break;
		case 5:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 5); a[(k*2)+1] ^= QC32dn(k<< 4, 5);} break;
		case 6:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 6); a[(k*2)+1] ^= QC32dn(k<< 4, 6);} break;
		case 7:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 7); a[(k*2)+1] ^= QC32dn(k<< 4, 7);} break;
		case 8:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 8); a[(k*2)+1] ^= QC32dn(k<< 4, 8);} break;
		case 9:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 9); a[(k*2)+1] ^= QC32dn(k<< 4, 9);} break;
		case 10:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 10); a[(k*2)+1] ^= QC32dn(k<< 4, 10);} break;
		case 11:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 11); a[(k*2)+1] ^= QC32dn(k<< 4, 11);} break;
		case 12:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 12); a[(k*2)+1] ^= QC32dn(k<< 4, 12);} break;
		case 13:
			#pragma unroll 16
			for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 13); a[(k*2)+1] ^= QC32dn(k<< 4, 13);} break;
		}

		// RBTT
		#pragma unroll 16
		for(int k=0;k<32;k+=2)
		{
			uint32_t t2_0  = B32_0(a[(k +  2) & 0x1f]), t1_0  = B32_0(a[(k +  1) & 0x1f]);
			uint32_t t6_1  = B32_1(a[(k +  6) & 0x1f]), t5_1  = B32_1(a[(k +  5) & 0x1f]);
			uint32_t t10_2 = B32_2(a[(k + 10) & 0x1f]), t9_2  = B32_2(a[(k +  9) & 0x1f]);
			uint32_t t22_3 = B32_3(a[(k + 22) & 0x1f]), t13_3 = B32_3(a[(k + 13) & 0x1f]);

			t[k + 0] =  T0up( t2_0 ) ^ T1up( t6_1 ) ^ T2up( t10_2 ) ^ T3up( t22_3 ) ^
						T0dn( t1_0 ) ^ T1dn( t5_1 ) ^ T2dn(  t9_2 ) ^ T3dn( t13_3 );

			t[k + 1] =  T0dn( t2_0 ) ^ T1dn( t6_1 ) ^ T2dn( t10_2 ) ^ T3dn( t22_3 ) ^
						T0up( t1_0 ) ^ T1up( t5_1 ) ^ T2up(  t9_2 ) ^ T3up( t13_3 );
		}
		#pragma unroll 32
		for(int k=0;k<32;k++)
			a[k] = t[k];
	}
}

#endif

__global__
void quark_groestl512_gpu_hash_64(uint32_t threads, uint32_t startNounce, uint32_t *g_hash, uint32_t *g_nonceVector)
{
#if __CUDA_ARCH__ < 300
	extern __shared__ char mixtabs[];

	if (threadIdx.x < 256)
	{
		*((uint32_t*)mixtabs + (    threadIdx.x)) = tex1Dfetch(t0up1, threadIdx.x);
		*((uint32_t*)mixtabs + (256+threadIdx.x)) = tex1Dfetch(t0dn1, threadIdx.x);
		*((uint32_t*)mixtabs + (512+threadIdx.x)) = tex1Dfetch(t1up1, threadIdx.x);
		*((uint32_t*)mixtabs + (768+threadIdx.x)) = tex1Dfetch(t1dn1, threadIdx.x);
		*((uint32_t*)mixtabs + (1024+threadIdx.x)) = tex1Dfetch(t2up1, threadIdx.x);
		*((uint32_t*)mixtabs + (1280+threadIdx.x)) = tex1Dfetch(t2dn1, threadIdx.x);
		*((uint32_t*)mixtabs + (1536+threadIdx.x)) = tex1Dfetch(t3up1, threadIdx.x);
		*((uint32_t*)mixtabs + (1792+threadIdx.x)) = tex1Dfetch(t3dn1, threadIdx.x);
	}

	__syncthreads();

	uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
	if (thread < threads)
	{
		// GROESTL
		uint32_t message[32];
		uint32_t state[32];

		uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);

		off_t hashPosition = nounce - startNounce;
		uint32_t *inpHash = &g_hash[hashPosition * 16];

		#pragma unroll 16
		for(int k=0; k<16; k++)
			message[k] = inpHash[k];

		#pragma unroll 14
		for(int k=1; k<15; k++)
			message[k+16] = 0;

		message[16] = 0x80;
		message[31] = 0x01000000;

		#pragma unroll 32
		for(int u=0; u<32; u++)
			state[u] = message[u];
		state[31] ^= 0x20000;

		// Perm
		quark_groestl512_perm_P(state, mixtabs);
		state[31] ^= 0x20000;
		quark_groestl512_perm_Q(message, mixtabs);

		#pragma unroll 32
		for(int u=0;u<32;u++) state[u] ^= message[u];

		#pragma unroll 32
		for(int u=0;u<32;u++) message[u] = state[u];

		quark_groestl512_perm_P(message, mixtabs);

		#pragma unroll 32
		for(int u=0;u<32;u++) state[u] ^= message[u];

		// Erzeugten Hash rausschreiben
		uint32_t *outpHash = &g_hash[hashPosition * 16];

		#pragma unroll 16
		for(int k=0;k<16;k++) outpHash[k] = state[k+16];
	}
#endif
}

#define texDef(texname, texmem, texsource, texsize) \
	unsigned int *texmem; \
	cudaMalloc(&texmem, texsize); \
	cudaMemcpy(texmem, texsource, texsize, cudaMemcpyHostToDevice); \
	texname.normalized = 0; \
	texname.filterMode = cudaFilterModePoint; \
	texname.addressMode[0] = cudaAddressModeClamp; \
	{ cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc<unsigned int>(); \
	  cudaBindTexture(NULL, &texname, texmem, &channelDesc, texsize ); } \

__host__
void quark_groestl512_sm20_init(int thr_id, uint32_t threads)
{
	// Texturen mit obigem Makro initialisieren
	texDef(t0up1, d_T0up, T0up_cpu, sizeof(uint32_t)*256);
	texDef(t0dn1, d_T0dn, T0dn_cpu, sizeof(uint32_t)*256);
	texDef(t1up1, d_T1up, T1up_cpu, sizeof(uint32_t)*256);
	texDef(t1dn1, d_T1dn, T1dn_cpu, sizeof(uint32_t)*256);
	texDef(t2up1, d_T2up, T2up_cpu, sizeof(uint32_t)*256);
	texDef(t2dn1, d_T2dn, T2dn_cpu, sizeof(uint32_t)*256);
	texDef(t3up1, d_T3up, T3up_cpu, sizeof(uint32_t)*256);
	texDef(t3dn1, d_T3dn, T3dn_cpu, sizeof(uint32_t)*256);
}

__host__
void quark_groestl512_sm20_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order)
{
	int threadsperblock = 512;

	dim3 grid((threads + threadsperblock-1)/threadsperblock);
	dim3 block(threadsperblock);

	size_t shared_size = 8 * 256 * sizeof(uint32_t);

	quark_groestl512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, d_hash, d_nonceVector);

	// MyStreamSynchronize(NULL, order, thr_id);
}

__host__
void quark_doublegroestl512_sm20_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order)
{
	int threadsperblock = 512;

	dim3 grid((threads + threadsperblock-1)/threadsperblock);
	dim3 block(threadsperblock);

	size_t shared_size = 8 * 256 * sizeof(uint32_t);

	quark_groestl512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, d_hash, d_nonceVector);
	quark_groestl512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, d_hash, d_nonceVector);

	// MyStreamSynchronize(NULL, order, thr_id);
}