// Auf QuarkCoin spezialisierte Version von Groestl inkl. Bitslice

#include <stdio.h>
#include <memory.h>
#include <sys/types.h> // off_t

#include <cuda_helper.h>

#ifdef __INTELLISENSE__
#define __CUDA_ARCH__ 500
#endif

#define TPB 256
#define THF 4U

#if __CUDA_ARCH__ >= 300
#include "groestl_functions_quad.h"
#include "groestl_transf_quad.h"
#endif

#include "cuda_quark_groestl512_sm2.cuh"

__global__ __launch_bounds__(TPB, THF)
void quark_groestl512_gpu_hash_64_quad(const uint32_t threads, const uint32_t startNounce, uint32_t * g_hash, uint32_t * __restrict g_nonceVector)
{
#if __CUDA_ARCH__ >= 300

	// BEWARE : 4-WAY CODE (one hash need 4 threads)
	const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x) >> 2;

	if (thread < threads)
	{
		uint32_t message[8];
		uint32_t state[8];

		uint32_t nounce = g_nonceVector ? g_nonceVector[thread] : (startNounce + thread);
		off_t hashPosition = nounce - startNounce;
		uint32_t *pHash = &g_hash[hashPosition << 4];

		const uint32_t thr = threadIdx.x & 0x3; // % THF

		/*| M0 M1 M2 M3 | M4 M5 M6 M7 | (input)
		--|-------------|-------------|
		T0|  0  4  8 12 | 80          |
		T1|  1  5    13 |             |
		T2|  2  6    14 |             |
		T3|  3  7    15 |          01 |
		--|-------------|-------------| */

		#pragma unroll
		for(int k=0;k<4;k++) message[k] = pHash[thr + (k * THF)];

		#pragma unroll
		for(int k=4;k<8;k++) message[k] = 0;

		if (thr == 0) message[4] = 0x80U; // end of data tag
		if (thr == 3) message[7] = 0x01000000U;

		uint32_t msgBitsliced[8];
		to_bitslice_quad(message, msgBitsliced);

		groestl512_progressMessage_quad(state, msgBitsliced);

		uint32_t hash[16];
		from_bitslice_quad(state, hash);

		// uint4 = 4x4 uint32_t = 16 bytes
		if (thr == 0) {
			uint4 *phash = (uint4*) hash;
			uint4 *outpt = (uint4*) pHash;
			outpt[0] = phash[0];
			outpt[1] = phash[1];
			outpt[2] = phash[2];
			outpt[3] = phash[3];
		}
	}
#endif
}

__host__
void quark_groestl512_cpu_init(int thr_id, uint32_t threads)
{
	int dev_id = device_map[thr_id];
	cuda_get_arch(thr_id);
	if (device_sm[dev_id] < 300 || cuda_arch[dev_id] < 300)
		quark_groestl512_sm20_init(thr_id, threads);
}

__host__
void quark_groestl512_cpu_free(int thr_id)
{
	int dev_id = device_map[thr_id];
	if (device_sm[dev_id] < 300 || cuda_arch[dev_id] < 300)
		quark_groestl512_sm20_free(thr_id);
}

__host__
void quark_groestl512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_hash, int order)
{
	uint32_t threadsperblock = TPB;

	// Compute 3.0 benutzt die registeroptimierte Quad Variante mit Warp Shuffle
	// mit den Quad Funktionen brauchen wir jetzt 4 threads pro Hash, daher Faktor 4 bei der Blockzahl
	const uint32_t factor = THF;

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

	int dev_id = device_map[thr_id];

	if (device_sm[dev_id] >= 300 && cuda_arch[dev_id] >= 300)
		quark_groestl512_gpu_hash_64_quad<<<grid, block>>>(threads, startNounce, d_hash, d_nonceVector);
	else
		quark_groestl512_sm20_hash_64(thr_id, threads, startNounce, d_nonceVector, d_hash, order);
}