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[oskar]

Hi,

I'm currently writing a program with a HMAC-Whirpool Keyderivation. For this code I need a big constant table with 256 ulong values (C0). The code is working (but to slow) and the resualts are right.

So I tried to analyse the code with the Stream KernelAnalyser and I find as Bottle Neck the global fetches. So I belive my array is not stored in the constant buffer. What is wrong? I also tried to use images for the array -> same speed.

#define ITERATIONS 1000 #define BLOCKS 1 #define BYTEORDER(x) ((x & 0xFF) << 24) | ((x & 0xFF00) << 😎 | ((x & 0xFF0000) >> 😎 | ((x & 0xFF000000) >> 24); __constant uint4 RC[]; __constant ulong C0[]; uint4 CXX(uint rot, uint x) { ulong l; uint4 r; l = C0; l = rotate(l, -rot); r.y = (l & 0xFFFFFFFF00000000) >> 32; r.x = (l & 0x00000000FFFFFFFF); return r; } void DepackState(uint4 *state, uint4 *depackedstate) { depackedstate[ 0] = (state[0] >> 24) & 0xFF; depackedstate[ 1] = (state[0] >> 16) & 0xFF; depackedstate[ 2] = (state[0] >> 😎 & 0xFF; depackedstate[ 3] = state[0] & 0xFF; depackedstate[ 4] = (state[1] >> 24) & 0xFF; depackedstate[ 5] = (state[1] >> 16) & 0xFF; depackedstate[ 6] = (state[1] >> 😎 & 0xFF; depackedstate[ 7] = state[1] & 0xFF; depackedstate[ 8] = (state[2] >> 24) & 0xFF; depackedstate[ 9] = (state[2] >> 16) & 0xFF; depackedstate[10] = (state[2] >> 😎 & 0xFF; depackedstate[11] = state[2] & 0xFF; depackedstate[12] = (state[3] >> 24) & 0xFF; depackedstate[13] = (state[3] >> 16) & 0xFF; depackedstate[14] = (state[3] >> 😎 & 0xFF; depackedstate[15] = state[3] & 0xFF; } void Rounds(uint4 *K, uint4 *L, uint4 *state) { uchar r; uint4 x[16]; /* * iterate over all rounds: */ for (r = 0; r < 10; r++) { /* * compute K^r from K^{r-1}: */ DepackState(K, x); L[0] = 0; L[0].yx ^= CXX( 0, x[ 0].y).yx; L[0].yx ^= CXX( 8, x[13].w).yx; L[0].yx ^= CXX(16, x[14].y).yx; L[0].yx ^= CXX(24, x[11].w).yx; L[0].yx ^= CXX(32, x[ 8].x).yx; L[0].yx ^= CXX(40, x[ 5].z).yx; L[0].yx ^= CXX(48, x[ 6].x).yx; L[0].yx ^= CXX(56, x[ 3].z).yx; L[0].yx ^= RC.yx; L[0].wz ^= CXX( 0, x[ 0].w).yx; L[0].wz ^= CXX( 8, x[ 1].y).yx; L[0].wz ^= CXX(16, x[14].w).yx; L[0].wz ^= CXX(24, x[15].y).yx; L[0].wz ^= CXX(32, x[ 8].z).yx; L[0].wz ^= CXX(40, x[ 9].x).yx; L[0].wz ^= CXX(48, x[ 6].z).yx; L[0].wz ^= CXX(56, x[ 7].x).yx; L[1] = 0; L[1].yx ^= CXX( 0, x[ 4].y).yx; L[1].yx ^= CXX( 8, x[ 1].w).yx; L[1].yx ^= CXX(16, x[ 2].y).yx; L[1].yx ^= CXX(24, x[15].w).yx; L[1].yx ^= CXX(32, x[12].x).yx; L[1].yx ^= CXX(40, x[ 9].z).yx; L[1].yx ^= CXX(48, x[10].x).yx; L[1].yx ^= CXX(56, x[ 7].z).yx; L[1].wz ^= CXX( 0, x[ 4].w).yx; L[1].wz ^= CXX( 8, x[ 5].y).yx; L[1].wz ^= CXX(16, x[ 2].w).yx; L[1].wz ^= CXX(24, x[ 3].y).yx; L[1].wz ^= CXX(32, x[12].z).yx; L[1].wz ^= CXX(40, x[13].x).yx; L[1].wz ^= CXX(48, x[10].z).yx; L[1].wz ^= CXX(56, x[11].x).yx; L[2] = 0; L[2].yx ^= CXX( 0, x[ 8].y).yx; L[2].yx ^= CXX( 8, x[ 5].w).yx; L[2].yx ^= CXX(16, x[ 6].y).yx; L[2].yx ^= CXX(24, x[ 3].w).yx; L[2].yx ^= CXX(32, x[ 0].x).yx; L[2].yx ^= CXX(40, x[13].z).yx; L[2].yx ^= CXX(48, x[14].x).yx; L[2].yx ^= CXX(56, x[11].z).yx; L[2].wz ^= CXX( 0, x[ 8].w).yx; L[2].wz ^= CXX( 8, x[ 9].y).yx; L[2].wz ^= CXX(16, x[ 6].w).yx; L[2].wz ^= CXX(24, x[ 7].y).yx; L[2].wz ^= CXX(32, x[ 0].z).yx; L[2].wz ^= CXX(40, x[ 1].x).yx; L[2].wz ^= CXX(48, x[14].z).yx; L[2].wz ^= CXX(56, x[15].x).yx; L[3] = 0; L[3].yx ^= CXX( 0, x[12].y).yx; L[3].yx ^= CXX( 8, x[ 9].w).yx; L[3].yx ^= CXX(16, x[10].y).yx; L[3].yx ^= CXX(24, x[ 7].w).yx; L[3].yx ^= CXX(32, x[ 4].x).yx; L[3].yx ^= CXX(40, x[ 1].z).yx; L[3].yx ^= CXX(48, x[ 2].x).yx; L[3].yx ^= CXX(56, x[15].z).yx; L[3].wz ^= CXX( 0, x[12].w).yx; L[3].wz ^= CXX( 8, x[13].y).yx; L[3].wz ^= CXX(16, x[10].w).yx; L[3].wz ^= CXX(24, x[11].y).yx; L[3].wz ^= CXX(32, x[ 4].z).yx; L[3].wz ^= CXX(40, x[ 5].x).yx; L[3].wz ^= CXX(48, x[ 2].z).yx; L[3].wz ^= CXX(56, x[ 3].x).yx; K[0] = L[0]; K[1] = L[1]; K[2] = L[2]; K[3] = L[3]; /* * apply the r-th round transformation: */ DepackState(state, x); L[0].yx ^= CXX( 0, x[ 0].y).yx; L[0].yx ^= CXX( 8, x[13].w).yx; L[0].yx ^= CXX(16, x[14].y).yx; L[0].yx ^= CXX(24, x[11].w).yx; L[0].yx ^= CXX(32, x[ 8].x).yx; L[0].yx ^= CXX(40, x[ 5].z).yx; L[0].yx ^= CXX(48, x[ 6].x).yx; L[0].yx ^= CXX(56, x[ 3].z).yx; //K[0] is allready in the resualt L[0].wz ^= CXX( 0, x[ 0].w).yx; L[0].wz ^= CXX( 8, x[ 1].y).yx; L[0].wz ^= CXX(16, x[14].w).yx; L[0].wz ^= CXX(24, x[15].y).yx; L[0].wz ^= CXX(32, x[ 8].z).yx; L[0].wz ^= CXX(40, x[ 9].x).yx; L[0].wz ^= CXX(48, x[ 6].z).yx; L[0].wz ^= CXX(56, x[ 7].x).yx; //K[1] is allready in the resualt L[1].yx ^= CXX( 0, x[ 4].y).yx; L[1].yx ^= CXX( 8, x[ 1].w).yx; L[1].yx ^= CXX(16, x[ 2].y).yx; L[1].yx ^= CXX(24, x[15].w).yx; L[1].yx ^= CXX(32, x[12].x).yx; L[1].yx ^= CXX(40, x[ 9].z).yx; L[1].yx ^= CXX(48, x[10].x).yx; L[1].yx ^= CXX(56, x[ 7].z).yx; //K[2] is allready in the resualt L[1].wz ^= CXX( 0, x[ 4].w).yx; L[1].wz ^= CXX( 8, x[ 5].y).yx; L[1].wz ^= CXX(16, x[ 2].w).yx; L[1].wz ^= CXX(24, x[ 3].y).yx; L[1].wz ^= CXX(32, x[12].z).yx; L[1].wz ^= CXX(40, x[13].x).yx; L[1].wz ^= CXX(48, x[10].z).yx; L[1].wz ^= CXX(56, x[11].x).yx; //K[3] is allready in the resualt L[2].yx ^= CXX( 0, x[ 8].y).yx; L[2].yx ^= CXX( 8, x[ 5].w).yx; L[2].yx ^= CXX(16, x[ 6].y).yx; L[2].yx ^= CXX(24, x[ 3].w).yx; L[2].yx ^= CXX(32, x[ 0].x).yx; L[2].yx ^= CXX(40, x[13].z).yx; L[2].yx ^= CXX(48, x[14].x).yx; L[2].yx ^= CXX(56, x[11].z).yx; //K[4] is allready in the resualt L[2].wz ^= CXX( 0, x[ 8].w).yx; L[2].wz ^= CXX( 8, x[ 9].y).yx; L[2].wz ^= CXX(16, x[ 6].w).yx; L[2].wz ^= CXX(24, x[ 7].y).yx; L[2].wz ^= CXX(32, x[ 0].z).yx; L[2].wz ^= CXX(40, x[ 1].x).yx; L[2].wz ^= CXX(48, x[14].z).yx; L[2].wz ^= CXX(56, x[15].x).yx; //K[5] is allready in the resualt L[3].yx ^= CXX( 0, x[12].y).yx; L[3].yx ^= CXX( 8, x[ 9].w).yx; L[3].yx ^= CXX(16, x[10].y).yx; L[3].yx ^= CXX(24, x[ 7].w).yx; L[3].yx ^= CXX(32, x[ 4].x).yx; L[3].yx ^= CXX(40, x[ 1].z).yx; L[3].yx ^= CXX(48, x[ 2].x).yx; L[3].yx ^= CXX(56, x[15].z).yx; //K[6] is allready in the resualt L[3].wz ^= CXX( 0, x[12].w).yx; L[3].wz ^= CXX( 8, x[13].y).yx; L[3].wz ^= CXX(16, x[10].w).yx; L[3].wz ^= CXX(24, x[11].y).yx; L[3].wz ^= CXX(32, x[ 4].z).yx; L[3].wz ^= CXX(40, x[ 5].x).yx; L[3].wz ^= CXX(48, x[ 2].z).yx; L[3].wz ^= CXX(56, x[ 3].x).yx; //K[7] is allready in the resualt state[0] = L[0]; state[1] = L[1]; state[2] = L[2]; state[3] = L[3]; } } void DoRounds(uint4 *old_ctx, uint4 *X, uint4 *new_ctx) { uint4 K[4], L[4], state[4]; /* * compute and apply K^0 to the cipher state: */ state[0] = X[0]^(K[0] = old_ctx[0]); state[1] = X[1]^(K[1] = old_ctx[1]); state[2] = X[2]^(K[2] = old_ctx[2]); state[3] = X[3]^(K[3] = old_ctx[3]); Rounds(K, L, state); /* * apply the Miyaguchi-Preneel compression function: */ new_ctx[0] = old_ctx[0]^state[0]^X[0]; new_ctx[1] = old_ctx[1]^state[1]^X[1]; new_ctx[2] = old_ctx[2]^state[2]^X[2]; new_ctx[3] = old_ctx[3]^state[3]^X[3]; } void DoRoundsFinal(uint4 *old_ctx, uint4 *new_ctx) { uint4 K[4], L[4], state[4]; /* * compute and apply K^0 to the cipher state: */ state[0] = K[0] = old_ctx[0]; state[1] = K[1] = old_ctx[1]; state[2] = K[2] = old_ctx[2]; state[3] = K[3] = old_ctx[3]; //Anbringen des Paddings und der fixen Nachrichtenlänge (1024 Bits) state[0].y ^= (uint)0x80<<24; state[3].z ^= 0x400; Rounds(K, L, state); /* * apply the Miyaguchi-Preneel compression function: */ new_ctx[0] = old_ctx[0]^state[0]; new_ctx[1] = old_ctx[1]^state[1]; new_ctx[2] = old_ctx[2]^state[2]; new_ctx[3] = old_ctx[3]^state[3]; //Anbringen des Paddings und der fixen Nachrichtenlänge (1024 Bits) new_ctx[0].y ^= (uint)0x80<<24; new_ctx[3].z ^= 0x400; } __kernel void DeriveKeys(__global uint4 *Keys, read_only __global uint4 *OuterInnerFirstIter) { uint id, i, z, o; uint4 ictx[4], octx[4], ctx1[4], ctx2[4], res[4]; id = get_global_id(0); //Holen der vorberechneten Werte for (i=0;i<4;i++) { octx = OuterInnerFirstIter[(8+4*BLOCKS)*id+i]; ictx = OuterInnerFirstIter[(8+4*BLOCKS)*id+4+i]; } for (z=0;z<BLOCKS;z++) { //Holen des Ergebnisses der 1. Iteration for (i=0;i<4;i++) { res = ctx1 = OuterInnerFirstIter[(8+4*BLOCKS)*id+8+4*z+i]; } //Ausführen der restlichen Iterationen for (i=1;i<ITERATIONS;i++) { //Teilweises ausrollen dieser Schleife bringt nichts DoRounds(ictx, ctx1, ctx2); DoRoundsFinal(ctx2, ctx1); DoRounds(octx, ctx1, ctx2); DoRoundsFinal(ctx2, ctx1); //Diese Ausrollung brachte bei RIPEMD160 einiges (ca. 1000 Pwd/s bei 4 Blöcken) res[0] ^= ctx1[0]; res[1] ^= ctx1[1]; res[2] ^= ctx1[2]; res[3] ^= ctx1[3]; } //Schreiben des Ergebnisses for (i=0;i<4;i++) { o = (4*BLOCKS)*id+4*z+i; //Schreibpos Keys.x = BYTEORDER(res.y); Keys.y = BYTEORDER(res.x); Keys.w = BYTEORDER(res.z); Keys.z = BYTEORDER(res.w); } } } __constant ulong C0[256] = { 0x18186018c07830d8, 0x23238c2305af4626, 0xc6c63fc67ef991b8, 0xe8e887e8136fcdfb, 0x878726874ca113cb, 0xb8b8dab8a9626d11, 0x0101040108050209, 0x4f4f214f426e9e0d, 0x3636d836adee6c9b, 0xa6a6a2a6590451ff, 0xd2d26fd2debdb90c, 0xf5f5f3f5fb06f70e, 0x7979f979ef80f296, 0x6f6fa16f5fcede30, 0x91917e91fcef3f6d, 0x52525552aa07a4f8, 0x60609d6027fdc047, 0xbcbccabc89766535, 0x9b9b569baccd2b37, 0x8e8e028e048c018a, 0xa3a3b6a371155bd2, 0x0c0c300c603c186c, 0x7b7bf17bff8af684, 0x3535d435b5e16a80, 0x1d1d741de8693af5, 0xe0e0a7e05347ddb3, 0xd7d77bd7f6acb321, 0xc2c22fc25eed999c, 0x2e2eb82e6d965c43, 0x4b4b314b627a9629, 0xfefedffea321e15d, 0x575741578216aed5, 0x15155415a8412abd, 0x7777c1779fb6eee8, 0x3737dc37a5eb6e92, 0xe5e5b3e57b56d79e, 0x9f9f469f8cd92313, 0xf0f0e7f0d317fd23, 0x4a4a354a6a7f9420, 0xdada4fda9e95a944, 0x58587d58fa25b0a2, 0xc9c903c906ca8fcf, 0x2929a429558d527c, 0x0a0a280a5022145a, 0xb1b1feb1e14f7f50, 0xa0a0baa0691a5dc9, 0x6b6bb16b7fdad614, 0x85852e855cab17d9, 0xbdbdcebd8173673c, 0x5d5d695dd234ba8f, 0x1010401080502090, 0xf4f4f7f4f303f507, 0xcbcb0bcb16c08bdd, 0x3e3ef83eedc67cd3, 0x0505140528110a2d, 0x676781671fe6ce78, 0xe4e4b7e47353d597, 0x27279c2725bb4e02, 0x4141194132588273, 0x8b8b168b2c9d0ba7, 0xa7a7a6a7510153f6, 0x7d7de97dcf94fab2, 0x95956e95dcfb3749, 0xd8d847d88e9fad56, 0xfbfbcbfb8b30eb70, 0xeeee9fee2371c1cd, 0x7c7ced7cc791f8bb, 0x6666856617e3cc71, 0xdddd53dda68ea77b, 0x17175c17b84b2eaf, 0x4747014702468e45, 0x9e9e429e84dc211a, 0xcaca0fca1ec589d4, 0x2d2db42d75995a58, 0xbfbfc6bf9179632e, 0x07071c07381b0e3f, 0xadad8ead012347ac, 0x5a5a755aea2fb4b0, 0x838336836cb51bef, 0x3333cc3385ff66b6, 0x636391633ff2c65c, 0x02020802100a0412, 0xaaaa92aa39384993, 0x7171d971afa8e2de, 0xc8c807c80ecf8dc6, 0x19196419c87d32d1, 0x494939497270923b, 0xd9d943d9869aaf5f, 0xf2f2eff2c31df931, 0xe3e3abe34b48dba8, 0x5b5b715be22ab6b9, 0x88881a8834920dbc, 0x9a9a529aa4c8293e, 0x262698262dbe4c0b, 0x3232c8328dfa64bf, 0xb0b0fab0e94a7d59, 0xe9e983e91b6acff2, 0x0f0f3c0f78331e77, 0xd5d573d5e6a6b733, 0x80803a8074ba1df4, 0xbebec2be997c6127, 0xcdcd13cd26de87eb, 0x3434d034bde46889, 0x48483d487a759032, 0xffffdbffab24e354, 0x7a7af57af78ff48d, 0x90907a90f4ea3d64, 0x5f5f615fc23ebe9d, 0x202080201da0403d, 0x6868bd6867d5d00f, 0x1a1a681ad07234ca, 0xaeae82ae192c41b7, 0xb4b4eab4c95e757d, 0x54544d549a19a8ce, 0x93937693ece53b7f, 0x222288220daa442f, 0x64648d6407e9c863, 0xf1f1e3f1db12ff2a, 0x7373d173bfa2e6cc, 0x12124812905a2482, 0x40401d403a5d807a, 0x0808200840281048, 0xc3c32bc356e89b95, 0xecec97ec337bc5df, 0xdbdb4bdb9690ab4d, 0xa1a1bea1611f5fc0, 0x8d8d0e8d1c830791, 0x3d3df43df5c97ac8, 0x97976697ccf1335b, 0x0000000000000000, 0xcfcf1bcf36d483f9, 0x2b2bac2b4587566e, 0x7676c57697b3ece1, 0x8282328264b019e6, 0xd6d67fd6fea9b128, 0x1b1b6c1bd87736c3, 0xb5b5eeb5c15b7774, 0xafaf86af112943be, 0x6a6ab56a77dfd41d, 0x50505d50ba0da0ea, 0x45450945124c8a57, 0xf3f3ebf3cb18fb38, 0x3030c0309df060ad, 0xefef9bef2b74c3c4, 0x3f3ffc3fe5c37eda, 0x55554955921caac7, 0xa2a2b2a2791059db, 0xeaea8fea0365c9e9, 0x656589650fecca6a, 0xbabad2bab9686903, 0x2f2fbc2f65935e4a, 0xc0c027c04ee79d8e, 0xdede5fdebe81a160, 0x1c1c701ce06c38fc, 0xfdfdd3fdbb2ee746, 0x4d4d294d52649a1f, 0x92927292e4e03976, 0x7575c9758fbceafa, 0x06061806301e0c36, 0x8a8a128a249809ae, 0xb2b2f2b2f940794b, 0xe6e6bfe66359d185, 0x0e0e380e70361c7e, 0x1f1f7c1ff8633ee7, 0x6262956237f7c455, 0xd4d477d4eea3b53a, 0xa8a89aa829324d81, 0x96966296c4f43152, 0xf9f9c3f99b3aef62, 0xc5c533c566f697a3, 0x2525942535b14a10, 0x59597959f220b2ab, 0x84842a8454ae15d0, 0x7272d572b7a7e4c5, 0x3939e439d5dd72ec, 0x4c4c2d4c5a619816, 0x5e5e655eca3bbc94, 0x7878fd78e785f09f, 0x3838e038ddd870e5, 0x8c8c0a8c14860598, 0xd1d163d1c6b2bf17, 0xa5a5aea5410b57e4, 0xe2e2afe2434dd9a1, 0x616199612ff8c24e, 0xb3b3f6b3f1457b42, 0x2121842115a54234, 0x9c9c4a9c94d62508, 0x1e1e781ef0663cee, 0x4343114322528661, 0xc7c73bc776fc93b1, 0xfcfcd7fcb32be54f, 0x0404100420140824, 0x51515951b208a2e3, 0x99995e99bcc72f25, 0x6d6da96d4fc4da22, 0x0d0d340d68391a65, 0xfafacffa8335e979, 0xdfdf5bdfb684a369, 0x7e7ee57ed79bfca9, 0x242490243db44819, 0x3b3bec3bc5d776fe, 0xabab96ab313d4b9a, 0xcece1fce3ed181f0, 0x1111441188552299, 0x8f8f068f0c890383, 0x4e4e254e4a6b9c04, 0xb7b7e6b7d1517366, 0xebeb8beb0b60cbe0, 0x3c3cf03cfdcc78c1, 0x81813e817cbf1ffd, 0x94946a94d4fe3540, 0xf7f7fbf7eb0cf31c, 0xb9b9deb9a1676f18, 0x13134c13985f268b, 0x2c2cb02c7d9c5851, 0xd3d36bd3d6b8bb05, 0xe7e7bbe76b5cd38c, 0x6e6ea56e57cbdc39, 0xc4c437c46ef395aa, 0x03030c03180f061b, 0x565645568a13acdc, 0x44440d441a49885e, 0x7f7fe17fdf9efea0, 0xa9a99ea921374f88, 0x2a2aa82a4d825467, 0xbbbbd6bbb16d6b0a, 0xc1c123c146e29f87, 0x53535153a202a6f1, 0xdcdc57dcae8ba572, 0x0b0b2c0b58271653, 0x9d9d4e9d9cd32701, 0x6c6cad6c47c1d82b, 0x3131c43195f562a4, 0x7474cd7487b9e8f3, 0xf6f6fff6e309f115, 0x464605460a438c4c, 0xacac8aac092645a5, 0x89891e893c970fb5, 0x14145014a04428b4, 0xe1e1a3e15b42dfba, 0x16165816b04e2ca6, 0x3a3ae83acdd274f7, 0x6969b9696fd0d206, 0x09092409482d1241, 0x7070dd70a7ade0d7, 0xb6b6e2b6d954716f, 0xd0d067d0ceb7bd1e, 0xeded93ed3b7ec7d6, 0xcccc17cc2edb85e2, 0x424215422a578468, 0x98985a98b4c22d2c, 0xa4a4aaa4490e55ed, 0x2828a0285d885075, 0x5c5c6d5cda31b886, 0xf8f8c7f8933fed6b, 0x8686228644a411c2}; __constant uint4 RC[10] = {{0x87B8014F, 0x1823C6E8, 0x0, 0x0}, {0x796F9152, 0x36A6D2F5, 0x0, 0x0}, {0xA30C7B35, 0x60BC9B8E, 0x0, 0x0}, {0x2E4BFE57, 0x1DE0D7C2, 0x0, 0x0}, {0x9FF04ADA, 0x157737E5, 0x0, 0x0}, {0xB1A06B85, 0x58C9290A, 0x0, 0x0}, {0xCB3E0567, 0xBD5D10F4, 0x0, 0x0}, {0xA77D95D8, 0xE427418B, 0x0, 0x0}, {0xDD17479E, 0xFBEE7C66, 0x0, 0x0}, {0xAD5A8333, 0xCA2DBF07, 0x0, 0x0}};

[omion]

I ran across something like this a while back. The problem is that, since the index of each lookup is not known beforehand, the compiler uses (rather slow) global memory for it.

I solved my problem by loading the array from the __constant to the __local space at the beginning. You may be able to pass the __local array as a parameter to the kernel, but I've never tried it (it didn't quite fit my kernel).

See section 4.7 of the AMD OpenCL programming guide for timing and other info.