cpu/pred/multiperspective_perceptron.hh

230         MultiperspectivePerceptron &mpp;
235         mpp(_mpp)
486                 MultiperspectivePerceptron &mpp)
487             : HistorySpec(p1, p2, 0, coeff, size, width, mpp)
493             return hash(mpp.threadData[tid]->ghist_words, mpp.blockSize, p1,
528             if (mpp.ghist_length <= p2) {
529                 mpp.ghist_length = p2 + 1;
537                 MultiperspectivePerceptron &mpp)
538             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
548                 mpp.threadData[tid]->acyclic_histories;
550                 mpp.threadData[tid]->acyclic2_histories;
558                     k %= mpp.blockSize;
570             if (mpp.acyclic_bits.size() < (p1 + 1)) {
571                 mpp.acyclic_bits.resize(p1 + 1);
573             if (mpp.acyclic_bits[p1].size() < (p1 + 2)) {
574                 mpp.acyclic_bits[p1].resize(p1 + 2, std::vector<bool>(2));
577                 mpp.acyclic_bits[p1][j][!p3] = true;
585                 MultiperspectivePerceptron &mpp)
586             : HistorySpec(p1, p2, 0, coeff, size, width, mpp)
595                 mpp.threadData[tid]->mod_histories;
601                 k %= mpp.blockSize;
607             mpp.insertModhistSpec(p1, p2);
614                 MultiperspectivePerceptron &mpp)
615             : HistorySpec(0, 0, 0, coeff, size, width, mpp)
629                 MultiperspectivePerceptron &mpp)
630             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
640                 mpp.threadData[tid]->recency_stack;
654                     k %= mpp.blockSize;
661             if (mpp.assoc < p1) {
662                 mpp.assoc = p1;
664             mpp.doing_recency = true;
671                     MultiperspectivePerceptron &mpp)
672                 : HistorySpec(p1, 0, 0, coeff, size, width, mpp)
680                     return mpp.threadData[tid]->imli_counter[p1-1];
685                 mpp.imli_counter_bits[p1 - 1] = 32;
692                 MultiperspectivePerceptron &mpp)
693             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
703                 mpp.threadData[tid]->path_history;
714                 int bm = (depth / mpp.blockSize) * mpp.blockSize;
715                 for (int i = 0; i < bm; i += mpp.blockSize) {
716                     for (int j = 0; j < mpp.blockSize; j += 1) {
729             if (mpp.path_length <= p1) {
730                 mpp.path_length = p1 + 1;
738                 MultiperspectivePerceptron &mpp)
739             : HistorySpec(p1, 0, 0, coeff, size, width, mpp)
745             unsigned int x = mpp.threadData[tid]->localHistories[pc];
753             mpp.doing_local = true;
760                 MultiperspectivePerceptron &mpp)
761             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
774                 x += mpp.threadData[tid]->modpath_histories[a][i];
780             mpp.insertModpathSpec(p1, p2);
787                 MultiperspectivePerceptron &mpp)
788             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
798                 mpp.threadData[tid]->ghist_words;
800                 mpp.threadData[tid]->path_history;
804                 int bm = (depth / mpp.blockSize) * mpp.blockSize;
806                 for (int i = 0; i < bm; i += mpp.blockSize) {
807                     w = ghist_words[i / mpp.blockSize];
808                     for (int j = 0; j < mpp.blockSize; j += 1) {
814                 w = ghist_words[bm / mpp.blockSize];
823                 int bm = (depth / mpp.blockSize) * mpp.blockSize;
825                 for (int i = 0; i < bm; i += mpp.blockSize) {
826                     w = ghist_words[i / mpp.blockSize];
827                     for (int j = 0; j < mpp.blockSize; j += 1) {
833                 w = ghist_words[bm/mpp.blockSize];
847             if (mpp.ghist_length <= p1) {
848                 mpp.ghist_length = p1 + 1;
850             if (mpp.path_length <= p1) {
851                 mpp.path_length = p1 + 1;
859                 MultiperspectivePerceptron &mpp)
860             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
870                 mpp.threadData[tid]->modpath_histories;
872                 mpp.threadData[tid]->mod_histories;
883             mpp.insertModhistSpec(p1, p2);
884             mpp.insertModpathSpec(p1, p2);
891                 MultiperspectivePerceptron &mpp)
892             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
909                 x += mpp.threadData[tid]->blurrypath_histories[scale][i] >>
922             if (mpp.blurrypath_bits.size() < (p1 + 1)) {
923                 mpp.blurrypath_bits.resize(p1 + 1);
925             if (mpp.blurrypath_bits[p1].size() < p2) {
926                 mpp.blurrypath_bits[p1].resize(p2);
929                 mpp.blurrypath_bits[p1][j] = 32 - p1;
937                 MultiperspectivePerceptron &mpp)
938             : HistorySpec(p1, 0, 0, coeff, size, width, mpp)
944             return hash(mpp.threadData[tid]->recency_stack, mpp.table_sizes,
968             if (mpp.assoc < p1) {
969                 mpp.assoc = p1;
971             mpp.doing_recency = true;
978                 MultiperspectivePerceptron &mpp)
979             : HistorySpec(p1, p2, p3, coeff, size, width, mpp)
989                 mpp.threadData[tid]->ghist_words;
991                 mpp.threadData[tid]->path_history;
994             int bm = (b / mpp.blockSize) * mpp.blockSize;
996             for (int i = a; i < bm; i += mpp.blockSize) {
997                 w = ghist_words[i / mpp.blockSize];
998                 for (int j = 0; j < mpp.blockSize; j += 1) {
1004             w = ghist_words[bm / mpp.blockSize];