/* This file is for implementing the Gao-Mateer FFT, see http://www.math.clemson.edu/~sgao/papers/GM10.pdf For the implementation strategy, see https://eprint.iacr.org/2017/793.pdf */ // 20221230 djb: split these arrays into separate .c files // 20221230 djb: rename powers array as fft_powers // 20221230 djb: rename consts array as fft_consts // 20221230 djb: rename s array as fft_scalars // 20221230 djb: add linker lines // linker define fft // linker use vec_mul // linker use fft_scalars fft_consts fft_powers #include "fft.h" #include "fft_scalars.h" #include "fft_consts.h" #include "fft_powers.h" #include "vec.h" /* input: in, polynomial in bitsliced form */ /* output: in, result of applying the radix conversions on in */ static void radix_conversions(uint64_t *in) { int i, j, k; const uint64_t mask[5][2] = { {0x8888888888888888, 0x4444444444444444}, {0xC0C0C0C0C0C0C0C0, 0x3030303030303030}, {0xF000F000F000F000, 0x0F000F000F000F00}, {0xFF000000FF000000, 0x00FF000000FF0000}, {0xFFFF000000000000, 0x0000FFFF00000000} }; // for (j = 0; j <= 4; j++) { for (i = 0; i < GFBITS; i++) for (k = 4; k >= j; k--) { in[i] ^= (in[i] & mask[k][0]) >> (1 << k); in[i] ^= (in[i] & mask[k][1]) >> (1 << k); } vec_mul(in, in, fft_scalars[j]); // scaling } } /* input: in, result of applying the radix conversions to the input polynomial */ /* output: out, evaluation results (by applying the FFT butterflies) */ static void butterflies(uint64_t out[][ GFBITS ], uint64_t *in) { int i, j, k, s, b; uint64_t tmp[ GFBITS ]; uint64_t consts_ptr = 0; const unsigned char reversal[64] = { 0, 32, 16, 48, 8, 40, 24, 56, 4, 36, 20, 52, 12, 44, 28, 60, 2, 34, 18, 50, 10, 42, 26, 58, 6, 38, 22, 54, 14, 46, 30, 62, 1, 33, 17, 49, 9, 41, 25, 57, 5, 37, 21, 53, 13, 45, 29, 61, 3, 35, 19, 51, 11, 43, 27, 59, 7, 39, 23, 55, 15, 47, 31, 63 }; // boradcast for (j = 0; j < 64; j++) for (i = 0; i < GFBITS; i++) { out[j][i] = (in[i] >> reversal[j]) & 1; out[j][i] = -out[j][i]; } // butterflies for (i = 0; i <= 5; i++) { s = 1 << i; for (j = 0; j < 64; j += 2*s) { for (k = j; k < j+s; k++) { vec_mul(tmp, out[k+s], fft_consts[ consts_ptr + (k-j) ]); for (b = 0; b < GFBITS; b++) out[k][b] ^= tmp[b]; for (b = 0; b < GFBITS; b++) out[k+s][b] ^= out[k][b]; } } consts_ptr += (1 << i); } // // adding the part contributed by x^64 for (i = 0; i < 64; i++) for (b = 0; b < GFBITS; b++) out[i][b] ^= fft_powers[i][b]; } void fft(vec out[][ GFBITS ], vec *in) { radix_conversions(in); butterflies(out, in); }