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331 lines
11 KiB
331 lines
11 KiB
10 years ago
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// SM 2.1 variant
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// #include "cuda_helper.h"
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#define MAXWELL_OR_FERMI 0
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#define USE_SHARED 1
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#define SPH_C32(x) ((uint32_t)(x ## U))
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#define SPH_T32(x) ((x) & SPH_C32(0xFFFFFFFF))
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#define PC32up(j, r) ((uint32_t)((j) + (r)))
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#define PC32dn(j, r) 0
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#define QC32up(j, r) 0xFFFFFFFF
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#define QC32dn(j, r) (((uint32_t)(r) << 24) ^ SPH_T32(~((uint32_t)(j) << 24)))
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#define B32_0(x) __byte_perm(x, 0, 0x4440)
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//((x) & 0xFF)
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#define B32_1(x) __byte_perm(x, 0, 0x4441)
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//(((x) >> 8) & 0xFF)
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#define B32_2(x) __byte_perm(x, 0, 0x4442)
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//(((x) >> 16) & 0xFF)
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#define B32_3(x) __byte_perm(x, 0, 0x4443)
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//((x) >> 24)
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// a healthy mix between shared and textured access provides the highest speed on Compute 3.0 and 3.5!
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#define T0up(x) (*((uint32_t*)mixtabs + ( (x))))
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#define T0dn(x) tex1Dfetch(t0dn1, x)
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#define T1up(x) tex1Dfetch(t1up1, x)
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#define T1dn(x) (*((uint32_t*)mixtabs + (768+(x))))
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#define T2up(x) tex1Dfetch(t2up1, x)
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#define T2dn(x) (*((uint32_t*)mixtabs + (1280+(x))))
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#define T3up(x) (*((uint32_t*)mixtabs + (1536+(x))))
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#define T3dn(x) tex1Dfetch(t3dn1, x)
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texture<unsigned int, 1, cudaReadModeElementType> t0up1;
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texture<unsigned int, 1, cudaReadModeElementType> t0dn1;
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texture<unsigned int, 1, cudaReadModeElementType> t1up1;
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texture<unsigned int, 1, cudaReadModeElementType> t1dn1;
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texture<unsigned int, 1, cudaReadModeElementType> t2up1;
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texture<unsigned int, 1, cudaReadModeElementType> t2dn1;
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texture<unsigned int, 1, cudaReadModeElementType> t3up1;
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texture<unsigned int, 1, cudaReadModeElementType> t3dn1;
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extern uint32_t T0up_cpu[];
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extern uint32_t T0dn_cpu[];
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extern uint32_t T1up_cpu[];
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extern uint32_t T1dn_cpu[];
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extern uint32_t T2up_cpu[];
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extern uint32_t T2dn_cpu[];
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extern uint32_t T3up_cpu[];
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extern uint32_t T3dn_cpu[];
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#if __CUDA_ARCH__ < 300
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__device__ __forceinline__
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void quark_groestl512_perm_P(uint32_t *a, char *mixtabs)
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{
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uint32_t t[32];
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for(int r=0; r<14; r++)
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{
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switch(r) {
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case 0:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 0); break;
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case 1:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 1); break;
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case 2:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 2); break;
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case 3:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 3); break;
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case 4:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 4); break;
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case 5:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 5); break;
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case 6:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 6); break;
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case 7:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 7); break;
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case 8:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 8); break;
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case 9:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 9); break;
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case 10:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 10); break;
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case 11:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 11); break;
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case 12:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 12); break;
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case 13:
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#pragma unroll 16
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for(int k=0;k<16;k++) a[(k*2)+0] ^= PC32up(k<< 4, 13); break;
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}
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// RBTT
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#pragma unroll 16
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for(int k=0;k<32;k+=2) {
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uint32_t t0_0 = B32_0(a[(k ) & 0x1f]), t9_0 = B32_0(a[(k + 9) & 0x1f]);
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uint32_t t2_1 = B32_1(a[(k + 2) & 0x1f]), t11_1 = B32_1(a[(k + 11) & 0x1f]);
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uint32_t t4_2 = B32_2(a[(k + 4) & 0x1f]), t13_2 = B32_2(a[(k + 13) & 0x1f]);
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uint32_t t6_3 = B32_3(a[(k + 6) & 0x1f]), t23_3 = B32_3(a[(k + 23) & 0x1f]);
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t[k + 0] = T0up( t0_0 ) ^ T1up( t2_1 ) ^ T2up( t4_2 ) ^ T3up( t6_3 ) ^
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T0dn( t9_0 ) ^ T1dn( t11_1 ) ^ T2dn( t13_2 ) ^ T3dn( t23_3 );
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t[k + 1] = T0dn( t0_0 ) ^ T1dn( t2_1 ) ^ T2dn( t4_2 ) ^ T3dn( t6_3 ) ^
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T0up( t9_0 ) ^ T1up( t11_1 ) ^ T2up( t13_2 ) ^ T3up( t23_3 );
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}
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#pragma unroll 32
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for(int k=0; k<32; k++) {
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a[k] = t[k];
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}
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}
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}
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__device__ __forceinline__
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void quark_groestl512_perm_Q(uint32_t *a, char *mixtabs)
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{
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for(int r=0; r<14; r++)
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{
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uint32_t t[32];
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switch(r) {
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case 0:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 0); a[(k*2)+1] ^= QC32dn(k<< 4, 0);} break;
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case 1:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 1); a[(k*2)+1] ^= QC32dn(k<< 4, 1);} break;
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case 2:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 2); a[(k*2)+1] ^= QC32dn(k<< 4, 2);} break;
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case 3:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 3); a[(k*2)+1] ^= QC32dn(k<< 4, 3);} break;
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case 4:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 4); a[(k*2)+1] ^= QC32dn(k<< 4, 4);} break;
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case 5:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 5); a[(k*2)+1] ^= QC32dn(k<< 4, 5);} break;
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case 6:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 6); a[(k*2)+1] ^= QC32dn(k<< 4, 6);} break;
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case 7:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 7); a[(k*2)+1] ^= QC32dn(k<< 4, 7);} break;
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case 8:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 8); a[(k*2)+1] ^= QC32dn(k<< 4, 8);} break;
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case 9:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 9); a[(k*2)+1] ^= QC32dn(k<< 4, 9);} break;
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case 10:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 10); a[(k*2)+1] ^= QC32dn(k<< 4, 10);} break;
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case 11:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 11); a[(k*2)+1] ^= QC32dn(k<< 4, 11);} break;
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case 12:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 12); a[(k*2)+1] ^= QC32dn(k<< 4, 12);} break;
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case 13:
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#pragma unroll 16
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for(int k=0;k<16;k++) { a[(k*2)+0] ^= QC32up(k<< 4, 13); a[(k*2)+1] ^= QC32dn(k<< 4, 13);} break;
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}
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// RBTT
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#pragma unroll 16
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for(int k=0;k<32;k+=2)
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{
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uint32_t t2_0 = B32_0(a[(k + 2) & 0x1f]), t1_0 = B32_0(a[(k + 1) & 0x1f]);
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uint32_t t6_1 = B32_1(a[(k + 6) & 0x1f]), t5_1 = B32_1(a[(k + 5) & 0x1f]);
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uint32_t t10_2 = B32_2(a[(k + 10) & 0x1f]), t9_2 = B32_2(a[(k + 9) & 0x1f]);
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uint32_t t22_3 = B32_3(a[(k + 22) & 0x1f]), t13_3 = B32_3(a[(k + 13) & 0x1f]);
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t[k + 0] = T0up( t2_0 ) ^ T1up( t6_1 ) ^ T2up( t10_2 ) ^ T3up( t22_3 ) ^
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T0dn( t1_0 ) ^ T1dn( t5_1 ) ^ T2dn( t9_2 ) ^ T3dn( t13_3 );
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t[k + 1] = T0dn( t2_0 ) ^ T1dn( t6_1 ) ^ T2dn( t10_2 ) ^ T3dn( t22_3 ) ^
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T0up( t1_0 ) ^ T1up( t5_1 ) ^ T2up( t9_2 ) ^ T3up( t13_3 );
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}
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#pragma unroll 32
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for(int k=0;k<32;k++)
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a[k] = t[k];
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}
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}
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#endif
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__global__
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void quark_groestl512_gpu_hash_64(int threads, uint32_t startNounce, uint32_t *g_hash, uint32_t *g_nonceVector)
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{
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#if __CUDA_ARCH__ < 300
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extern __shared__ char mixtabs[];
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if (threadIdx.x < 256)
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{
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*((uint32_t*)mixtabs + ( threadIdx.x)) = tex1Dfetch(t0up1, threadIdx.x);
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*((uint32_t*)mixtabs + (256+threadIdx.x)) = tex1Dfetch(t0dn1, threadIdx.x);
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*((uint32_t*)mixtabs + (512+threadIdx.x)) = tex1Dfetch(t1up1, threadIdx.x);
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*((uint32_t*)mixtabs + (768+threadIdx.x)) = tex1Dfetch(t1dn1, threadIdx.x);
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*((uint32_t*)mixtabs + (1024+threadIdx.x)) = tex1Dfetch(t2up1, threadIdx.x);
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*((uint32_t*)mixtabs + (1280+threadIdx.x)) = tex1Dfetch(t2dn1, threadIdx.x);
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*((uint32_t*)mixtabs + (1536+threadIdx.x)) = tex1Dfetch(t3up1, threadIdx.x);
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*((uint32_t*)mixtabs + (1792+threadIdx.x)) = tex1Dfetch(t3dn1, threadIdx.x);
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}
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__syncthreads();
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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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// GROESTL
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uint32_t message[32];
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uint32_t state[32];
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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 = &g_hash[16 * hashPosition];
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#pragma unroll 16
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for(int k=0; k<16; k++)
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message[k] = inpHash[k];
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#pragma unroll 14
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for(int k=1; k<15; k++)
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message[k+16] = 0;
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message[16] = 0x80;
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message[31] = 0x01000000;
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#pragma unroll 32
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for(int u=0; u<32; u++)
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state[u] = message[u];
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state[31] ^= 0x20000;
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// Perm
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quark_groestl512_perm_P(state, mixtabs);
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state[31] ^= 0x20000;
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quark_groestl512_perm_Q(message, mixtabs);
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#pragma unroll 32
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for(int u=0;u<32;u++) state[u] ^= message[u];
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#pragma unroll 32
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for(int u=0;u<32;u++) message[u] = state[u];
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quark_groestl512_perm_P(message, mixtabs);
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#pragma unroll 32
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for(int u=0;u<32;u++) state[u] ^= message[u];
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// Erzeugten Hash rausschreiben
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uint32_t *outpHash = &g_hash[16 * hashPosition];
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#pragma unroll 16
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for(int k=0;k<16;k++) outpHash[k] = state[k+16];
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}
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#endif
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}
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#define texDef(texname, texmem, texsource, texsize) \
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unsigned int *texmem; \
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cudaMalloc(&texmem, texsize); \
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cudaMemcpy(texmem, texsource, texsize, cudaMemcpyHostToDevice); \
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texname.normalized = 0; \
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texname.filterMode = cudaFilterModePoint; \
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texname.addressMode[0] = cudaAddressModeClamp; \
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{ cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc<unsigned int>(); \
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cudaBindTexture(NULL, &texname, texmem, &channelDesc, texsize ); } \
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__host__
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void quark_groestl512_sm20_init(int thr_id, int threads)
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{
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// Texturen mit obigem Makro initialisieren
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texDef(t0up1, d_T0up, T0up_cpu, sizeof(uint32_t)*256);
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texDef(t0dn1, d_T0dn, T0dn_cpu, sizeof(uint32_t)*256);
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texDef(t1up1, d_T1up, T1up_cpu, sizeof(uint32_t)*256);
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texDef(t1dn1, d_T1dn, T1dn_cpu, sizeof(uint32_t)*256);
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texDef(t2up1, d_T2up, T2up_cpu, sizeof(uint32_t)*256);
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texDef(t2dn1, d_T2dn, T2dn_cpu, sizeof(uint32_t)*256);
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texDef(t3up1, d_T3up, T3up_cpu, sizeof(uint32_t)*256);
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texDef(t3dn1, d_T3dn, T3dn_cpu, sizeof(uint32_t)*256);
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}
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__host__
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void quark_groestl512_sm20_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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int threadsperblock = 512;
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dim3 grid((threads + threadsperblock-1)/threadsperblock);
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dim3 block(threadsperblock);
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size_t shared_size = 8 * 256 * sizeof(uint32_t);
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quark_groestl512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, d_hash, d_nonceVector);
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// MyStreamSynchronize(NULL, order, thr_id);
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}
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__host__
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void quark_doublegroestl512_sm20_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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int threadsperblock = 512;
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dim3 grid((threads + threadsperblock-1)/threadsperblock);
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dim3 block(threadsperblock);
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||
|
|
||
|
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);
|
||
|
}
|