diff options
| author | Tor Aamodt <[email protected]> | 2010-08-08 22:57:41 -0800 |
|---|---|---|
| committer | Tor Aamodt <[email protected]> | 2010-08-08 22:57:41 -0800 |
| commit | a1acb8ed114e6ed00c742e7fd7bcbbe216f909c1 (patch) | |
| tree | ba2f2cde4317b9c1cd5a3321652563aa461dca37 /src/gpgpu-sim/mem_latency_stat.cc | |
| parent | a22c87cf48cb64a264c0696e6749e85b2038e0cf (diff) | |
refactoring: mem_latency_stat in impl, etc...
[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 7173]
Diffstat (limited to 'src/gpgpu-sim/mem_latency_stat.cc')
| -rw-r--r-- | src/gpgpu-sim/mem_latency_stat.cc | 542 |
1 files changed, 542 insertions, 0 deletions
diff --git a/src/gpgpu-sim/mem_latency_stat.cc b/src/gpgpu-sim/mem_latency_stat.cc new file mode 100644 index 0000000..eb560c1 --- /dev/null +++ b/src/gpgpu-sim/mem_latency_stat.cc @@ -0,0 +1,542 @@ +/* + * mem_latency_stat.cc + * + * Copyright (c) 2009 by Tor M. Aamodt, Wilson W. L. Fung, Ali Bakhoda, + * George L. Yuan and the + * University of British Columbia + * Vancouver, BC V6T 1Z4 + * All Rights Reserved. + * + * THIS IS A LEGAL DOCUMENT BY DOWNLOADING GPGPU-SIM, YOU ARE AGREEING TO THESE + * TERMS AND CONDITIONS. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNERS OR CONTRIBUTORS BE + * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + * POSSIBILITY OF SUCH DAMAGE. + * + * NOTE: The files libcuda/cuda_runtime_api.c and src/cuda-sim/cuda-math.h + * are derived from the CUDA Toolset available from http://www.nvidia.com/cuda + * (property of NVIDIA). The files benchmarks/BlackScholes/ and + * benchmarks/template/ are derived from the CUDA SDK available from + * http://www.nvidia.com/cuda (also property of NVIDIA). The files from + * src/intersim/ are derived from Booksim (a simulator provided with the + * textbook "Principles and Practices of Interconnection Networks" available + * from http://cva.stanford.edu/books/ppin/). As such, those files are bound by + * the corresponding legal terms and conditions set forth separately (original + * copyright notices are left in files from these sources and where we have + * modified a file our copyright notice appears before the original copyright + * notice). + * + * Using this version of GPGPU-Sim requires a complete installation of CUDA + * which is distributed seperately by NVIDIA under separate terms and + * conditions. To use this version of GPGPU-Sim with OpenCL requires a + * recent version of NVIDIA's drivers which support OpenCL. + * + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are met: + * + * 1. Redistributions of source code must retain the above copyright notice, + * this list of conditions and the following disclaimer. + * + * 2. Redistributions in binary form must reproduce the above copyright notice, + * this list of conditions and the following disclaimer in the documentation + * and/or other materials provided with the distribution. + * + * 3. Neither the name of the University of British Columbia nor the names of + * its contributors may be used to endorse or promote products derived from + * this software without specific prior written permission. + * + * 4. This version of GPGPU-SIM is distributed freely for non-commercial use only. + * + * 5. No nonprofit user may place any restrictions on the use of this software, + * including as modified by the user, by any other authorized user. + * + * 6. GPGPU-SIM was developed primarily by Tor M. Aamodt, Wilson W. L. Fung, + * Ali Bakhoda, George L. Yuan, at the University of British Columbia, + * Vancouver, BC V6T 1Z4 + */ + +#include "mem_latency_stat.h" +#include "gpu-sim.h" +#include "shader.h" +#include "mem_fetch.h" +#include "../abstract_hardware_model.h" +#include <string.h> +#include <stdlib.h> +#include <stdio.h> + +extern unsigned long long gpu_sim_cycle; +extern unsigned int gpu_n_mem; +extern unsigned int gpu_n_shader; +extern int gpgpu_dram_sched_queue_size; +extern int gpgpu_dram_scheduler; +extern unsigned int gpu_mem_n_bk; + +bool gpgpu_memlatency_stat = false; + +unsigned max_mrq_latency; +unsigned max_dq_latency; +unsigned max_mf_latency; +unsigned max_icnt2mem_latency; +unsigned max_icnt2sh_latency; +unsigned mrq_lat_table[32]; +unsigned dq_lat_table[32]; +unsigned mf_lat_table[32]; +unsigned icnt2mem_lat_table[24]; +unsigned icnt2sh_lat_table[24]; +unsigned mf_lat_pw_table[32]; //table storing values of mf latency Per Window +unsigned mf_num_lat_pw; +unsigned mf_tot_lat_pw; //total latency summed up per window. divide by mf_num_lat_pw to obtain average latency Per Window +unsigned long long int mf_total_lat; +unsigned long long int ** mf_total_lat_table; //mf latency sums[dram chip id][bank id] +unsigned ** mf_max_lat_table; //mf latency sums[dram chip id][bank id] +unsigned num_mfs; +unsigned int ***bankwrites; //bankwrites[shader id][dram chip id][bank id] +unsigned int ***bankreads; //bankreads[shader id][dram chip id][bank id] +unsigned int **totalbankwrites; //bankwrites[dram chip id][bank id] +unsigned int **totalbankreads; //bankreads[dram chip id][bank id] +unsigned int **totalbankaccesses; //bankaccesses[dram chip id][bank id] +unsigned int *requests_by_warp; +unsigned int *MCB_accesses; //upon cache miss, tracks which memory controllers accessed by a warp +unsigned int *num_MCBs_accessed; //tracks how many memory controllers are accessed whenever any thread in a warp misses in cache +unsigned int *position_of_mrq_chosen; //position of mrq in m_queue chosen +unsigned *mf_num_lat_pw_perwarp; +unsigned *mf_tot_lat_pw_perwarp; //total latency summed up per window per warp. divide by mf_num_lat_pw_perwarp to obtain average latency Per Window +unsigned long long int *mf_total_lat_perwarp; +unsigned *num_mfs_perwarp; +unsigned *acc_mrq_length; + +unsigned ***mem_access_type_stats; // dram access type classification + + +void memlatstat_init( ) +{ + unsigned i,j; + + max_mrq_latency = 0; + max_dq_latency = 0; + max_mf_latency = 0; + max_icnt2mem_latency = 0; + max_icnt2sh_latency = 0; + memset(mrq_lat_table, 0, sizeof(unsigned)*32); + memset(dq_lat_table, 0, sizeof(unsigned)*32); + memset(mf_lat_table, 0, sizeof(unsigned)*32); + memset(icnt2mem_lat_table, 0, sizeof(unsigned)*24); + memset(icnt2sh_lat_table, 0, sizeof(unsigned)*24); + memset(mf_lat_pw_table, 0, sizeof(unsigned)*32); + mf_num_lat_pw = 0; + mf_num_lat_pw_perwarp = (unsigned *) calloc((gpu_n_shader * gpu_n_thread_per_shader / warp_size)+1, sizeof(unsigned int)); + mf_tot_lat_pw_perwarp = (unsigned *) calloc((gpu_n_shader * gpu_n_thread_per_shader / warp_size)+1, sizeof(unsigned int)); + mf_total_lat_perwarp = (unsigned long long int *) calloc((gpu_n_shader * gpu_n_thread_per_shader / warp_size)+1, sizeof(unsigned long long int)); + num_mfs_perwarp = (unsigned *) calloc((gpu_n_shader * gpu_n_thread_per_shader / warp_size)+1, sizeof(unsigned int)); + acc_mrq_length = (unsigned *) calloc(gpu_n_mem, sizeof(unsigned int)); + mf_tot_lat_pw = 0; //total latency summed up per window. divide by mf_num_lat_pw to obtain average latency Per Window + mf_total_lat = 0; + num_mfs = 0; + printf("*** Initializing Memory Statistics ***\n"); + requests_by_warp = (unsigned int*) calloc((gpu_n_shader * gpu_n_thread_per_shader / warp_size)+1, sizeof(unsigned int)); + totalbankreads = (unsigned int**) calloc(gpu_n_mem, sizeof(unsigned int*)); + totalbankwrites = (unsigned int**) calloc(gpu_n_mem, sizeof(unsigned int*)); + totalbankaccesses = (unsigned int**) calloc(gpu_n_mem, sizeof(unsigned int*)); + mf_total_lat_table = (unsigned long long int **) calloc(gpu_n_mem, sizeof(unsigned long long *)); + mf_max_lat_table = (unsigned **) calloc(gpu_n_mem, sizeof(unsigned *)); + bankreads = (unsigned int***) calloc(gpu_n_shader, sizeof(unsigned int**)); + bankwrites = (unsigned int***) calloc(gpu_n_shader, sizeof(unsigned int**)); + MCB_accesses = (unsigned int*) calloc(gpu_n_mem*4, sizeof(unsigned int)); + num_MCBs_accessed = (unsigned int*) calloc(gpu_n_mem*4+1, sizeof(unsigned int)); + if (gpgpu_dram_sched_queue_size) { + position_of_mrq_chosen = (unsigned int*) calloc(gpgpu_dram_sched_queue_size, sizeof(unsigned int)); + } else + position_of_mrq_chosen = (unsigned int*) calloc(1024, sizeof(unsigned int)); + for (i=0;i<gpu_n_shader ;i++ ) { + bankreads[i] = (unsigned int**) calloc(gpu_n_mem, sizeof(unsigned int*)); + bankwrites[i] = (unsigned int**) calloc(gpu_n_mem, sizeof(unsigned int*)); + for (j=0;j<gpu_n_mem ;j++ ) { + bankreads[i][j] = (unsigned int*) calloc(gpu_mem_n_bk, sizeof(unsigned int)); + bankwrites[i][j] = (unsigned int*) calloc(gpu_mem_n_bk, sizeof(unsigned int)); + } + } + + for (i=0;i<gpu_n_mem ;i++ ) { + totalbankreads[i] = (unsigned int*) calloc(gpu_mem_n_bk, sizeof(unsigned int)); + totalbankwrites[i] = (unsigned int*) calloc(gpu_mem_n_bk, sizeof(unsigned int)); + totalbankaccesses[i] = (unsigned int*) calloc(gpu_mem_n_bk, sizeof(unsigned int)); + mf_total_lat_table[i] = (unsigned long long int*) calloc(gpu_mem_n_bk, sizeof(unsigned long long int)); + mf_max_lat_table[i] = (unsigned *) calloc(gpu_mem_n_bk, sizeof(unsigned)); + } + + mem_access_type_stats = (unsigned ***) malloc(NUM_MEM_ACCESS_TYPE * sizeof(unsigned **)); + for (i = 0; i < NUM_MEM_ACCESS_TYPE; i++) { + int j; + mem_access_type_stats[i] = (unsigned **) calloc(gpu_n_mem, sizeof(unsigned*)); + for (j=0; (unsigned) j< gpu_n_mem; j++) { + mem_access_type_stats[i][j] = (unsigned *) calloc((gpu_mem_n_bk+1), sizeof(unsigned*)); + } + } +} + +void memlatstat_start(mem_fetch_t *mf) +{ + mf->timestamp = gpu_sim_cycle + gpu_tot_sim_cycle; + mf->timestamp2 = 0; +} + +// recorder the total latency +unsigned memlatstat_done(mem_fetch_t *mf) +{ + unsigned mf_latency; + unsigned wid = mf->sid*gpu_n_warp_per_shader + mf->wid; + mf_latency = (gpu_sim_cycle+gpu_tot_sim_cycle) - mf->timestamp; + mf_num_lat_pw++; + mf_num_lat_pw_perwarp[wid]++; + mf_tot_lat_pw_perwarp[wid] += mf_latency; + mf_tot_lat_pw += mf_latency; + check_time_vector_update(mf->mshr->insts[0].uid,MR_2SH_FQ_POP,mf_latency, mf->type ) ; + mf_lat_table[LOGB2(mf_latency)]++; + shader_mem_lat_log(mf->sid, mf_latency); + mf_total_lat_table[mf->chip][mf->bank] += mf_latency; + if (mf_latency > max_mf_latency) + max_mf_latency = mf_latency; + return mf_latency; +} + +void memlatstat_icnt2sh_push(mem_fetch_t *mf) +{ + mf->timestamp2 = gpu_sim_cycle+gpu_tot_sim_cycle; +} + +void memlatstat_read_done(mem_fetch_t *mf) +{ + if (gpgpu_memlatency_stat) { + unsigned mf_latency = memlatstat_done(mf); + + if (mf_latency > mf_max_lat_table[mf->chip][mf->bank]) { + mf_max_lat_table[mf->chip][mf->bank] = mf_latency; + } + + unsigned icnt2sh_latency; + icnt2sh_latency = (gpu_tot_sim_cycle+gpu_sim_cycle) - mf->timestamp2; + icnt2sh_lat_table[LOGB2(icnt2sh_latency)]++; + if (icnt2sh_latency > max_icnt2sh_latency) + max_icnt2sh_latency = icnt2sh_latency; + } +} + +void memlatstat_dram_access(mem_fetch_t *mf, unsigned dram_id, unsigned bank) +{ + assert(dram_id < gpu_n_mem); + assert(bank < gpu_mem_n_bk); + if (gpgpu_memlatency_stat) { + if (mf->write) { + if ( (unsigned) mf->sid < gpu_n_shader ) { //do not count L2_writebacks here + bankwrites[mf->sid][dram_id][bank]++; + shader_mem_acc_log( mf->sid, dram_id, bank, 'w'); + } + totalbankwrites[dram_id][bank]++; + } else { + bankreads[mf->sid][dram_id][bank]++; + shader_mem_acc_log( mf->sid, dram_id, bank, 'r'); + totalbankreads[dram_id][bank]++; + } + + if (mf->pc != (unsigned) -1) { + ptx_file_line_stats_add_dram_traffic(mf->pc, 1); + } + + mem_access_type_stats[mf->mem_acc][dram_id][bank]++; + } +} + +void memlatstat_icnt2mem_pop(mem_fetch_t *mf) +{ + if (gpgpu_memlatency_stat) { + unsigned icnt2mem_latency; + icnt2mem_latency = (gpu_tot_sim_cycle+gpu_sim_cycle) - mf->timestamp; + icnt2mem_lat_table[LOGB2(icnt2mem_latency)]++; + if (icnt2mem_latency > max_icnt2mem_latency) + max_icnt2mem_latency = icnt2mem_latency; + } +} + +void memlatstat_lat_pw( ) +{ + unsigned i; + if (mf_num_lat_pw && gpgpu_memlatency_stat) { + assert(mf_tot_lat_pw); + mf_total_lat = mf_tot_lat_pw; + num_mfs = mf_num_lat_pw; + mf_lat_pw_table[LOGB2(mf_tot_lat_pw/mf_num_lat_pw)]++; + mf_tot_lat_pw = 0; + mf_num_lat_pw = 0; + } + for (i=0;i < ((gpu_n_shader * gpu_n_thread_per_shader / warp_size)+1); i++) { + if (mf_num_lat_pw_perwarp[i] && gpgpu_memlatency_stat) { + assert(mf_tot_lat_pw_perwarp[i]); + mf_total_lat_perwarp[i] += mf_tot_lat_pw_perwarp[i]; + num_mfs_perwarp[i] += mf_num_lat_pw_perwarp[i]; + //mf_lat_pw_table[LOGB2(mf_tot_lat_pw/mf_num_lat_pw)]++; + mf_tot_lat_pw_perwarp[i] = 0; + mf_num_lat_pw_perwarp[i] = 0; + } + } +} + + +void memlatstat_print( ) +{ + unsigned i,j,k,l,m; + unsigned max_bank_accesses, min_bank_accesses, max_chip_accesses, min_chip_accesses; + + if (gpgpu_memlatency_stat) { + printf("maxmrqlatency = %d \n", max_mrq_latency); + printf("maxdqlatency = %d \n", max_dq_latency); + printf("maxmflatency = %d \n", max_mf_latency); + if (num_mfs) { + printf("averagemflatency = %lld \n", mf_total_lat/num_mfs); + } + printf("max_icnt2mem_latency = %d \n", max_icnt2mem_latency); + printf("max_icnt2sh_latency = %d \n", max_icnt2sh_latency); + printf("mrq_lat_table:"); + for (i=0; i< 32; i++) { + printf("%d \t", mrq_lat_table[i]); + } + printf("\n"); + printf("dq_lat_table:"); + for (i=0; i< 32; i++) { + printf("%d \t", dq_lat_table[i]); + } + printf("\n"); + printf("mf_lat_table:"); + for (i=0; i< 32; i++) { + printf("%d \t", mf_lat_table[i]); + } + printf("\n"); + printf("icnt2mem_lat_table:"); + for (i=0; i< 24; i++) { + printf("%d \t", icnt2mem_lat_table[i]); + } + printf("\n"); + printf("icnt2sh_lat_table:"); + for (i=0; i< 24; i++) { + printf("%d \t", icnt2sh_lat_table[i]); + } + printf("\n"); + printf("mf_lat_pw_table:"); + for (i=0; i< 32; i++) { + printf("%d \t", mf_lat_pw_table[i]); + } + printf("\n"); + + /*MAXIMUM CONCURRENT ACCESSES TO SAME ROW*/ + printf("maximum concurrent accesses to same row:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + printf("%9d ",max_conc_access2samerow[i][j]); + } + printf("\n"); + } + + /*MAXIMUM SERVICE TIME TO SAME ROW*/ + printf("maximum service time to same row:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + printf("%9d ",max_servicetime2samerow[i][j]); + } + printf("\n"); + } + + /*AVERAGE ROW ACCESSES PER ACTIVATE*/ + int total_row_accesses = 0; + int total_num_activates = 0; + printf("average row accesses per activate:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + total_row_accesses += row_access[i][j]; + total_num_activates += num_activates[i][j]; + printf("%9f ",(float) row_access[i][j]/num_activates[i][j]); + } + printf("\n"); + } + printf("average row locality = %d/%d = %f\n", total_row_accesses, total_num_activates, (float)total_row_accesses/total_num_activates); + /*MEMORY ACCESSES*/ + k = 0; + l = 0; + m = 0; + max_bank_accesses = 0; + max_chip_accesses = 0; + min_bank_accesses = 0xFFFFFFFF; + min_chip_accesses = 0xFFFFFFFF; + printf("number of total memory accesses made:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + l = totalbankaccesses[i][j]; + if (l < min_bank_accesses) + min_bank_accesses = l; + if (l > max_bank_accesses) + max_bank_accesses = l; + k += l; + m += l; + printf("%9d ",l); + } + if (m < min_chip_accesses) + min_chip_accesses = m; + if (m > max_chip_accesses) + max_chip_accesses = m; + m = 0; + printf("\n"); + } + printf("total accesses: %d\n", k); + if (min_bank_accesses) + printf("bank skew: %d/%d = %4.2f\n", max_bank_accesses, min_bank_accesses, (float)max_bank_accesses/min_bank_accesses); + else + printf("min_bank_accesses = 0!\n"); + if (min_chip_accesses) + printf("chip skew: %d/%d = %4.2f\n", max_chip_accesses, min_chip_accesses, (float)max_chip_accesses/min_chip_accesses); + else + printf("min_chip_accesses = 0!\n"); + + /*READ ACCESSES*/ + k = 0; + l = 0; + m = 0; + max_bank_accesses = 0; + max_chip_accesses = 0; + min_bank_accesses = 0xFFFFFFFF; + min_chip_accesses = 0xFFFFFFFF; + printf("number of total read accesses:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + l = totalbankreads[i][j]; + if (l < min_bank_accesses) + min_bank_accesses = l; + if (l > max_bank_accesses) + max_bank_accesses = l; + k += l; + m += l; + printf("%9d ",l); + } + if (m < min_chip_accesses) + min_chip_accesses = m; + if (m > max_chip_accesses) + max_chip_accesses = m; + m = 0; + printf("\n"); + } + printf("total reads: %d\n", k); + if (min_bank_accesses) + printf("bank skew: %d/%d = %4.2f\n", max_bank_accesses, min_bank_accesses, (float)max_bank_accesses/min_bank_accesses); + else + printf("min_bank_accesses = 0!\n"); + if (min_chip_accesses) + printf("chip skew: %d/%d = %4.2f\n", max_chip_accesses, min_chip_accesses, (float)max_chip_accesses/min_chip_accesses); + else + printf("min_chip_accesses = 0!\n"); + + /*WRITE ACCESSES*/ + k = 0; + l = 0; + m = 0; + max_bank_accesses = 0; + max_chip_accesses = 0; + min_bank_accesses = 0xFFFFFFFF; + min_chip_accesses = 0xFFFFFFFF; + printf("number of total write accesses:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + l = totalbankwrites[i][j]; + if (l < min_bank_accesses) + min_bank_accesses = l; + if (l > max_bank_accesses) + max_bank_accesses = l; + k += l; + m += l; + printf("%9d ",l); + } + if (m < min_chip_accesses) + min_chip_accesses = m; + if (m > max_chip_accesses) + max_chip_accesses = m; + m = 0; + printf("\n"); + } + printf("total reads: %d\n", k); + if (min_bank_accesses) + printf("bank skew: %d/%d = %4.2f\n", max_bank_accesses, min_bank_accesses, (float)max_bank_accesses/min_bank_accesses); + else + printf("min_bank_accesses = 0!\n"); + if (min_chip_accesses) + printf("chip skew: %d/%d = %4.2f\n", max_chip_accesses, min_chip_accesses, (float)max_chip_accesses/min_chip_accesses); + else + printf("min_chip_accesses = 0!\n"); + + + /*AVERAGE MF LATENCY PER BANK*/ + printf("average mf latency per bank:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + k = totalbankwrites[i][j] + totalbankreads[i][j]; + if (k) + printf("%10lld", mf_total_lat_table[i][j] / k); + else + printf(" none "); + } + printf("\n"); + } + + /*MAXIMUM MF LATENCY PER BANK*/ + printf("maximum mf latency per bank:\n"); + for (i=0;i<gpu_n_mem ;i++ ) { + printf("dram[%d]: ", i); + for (j=0;j<4 ;j++ ) { + printf("%10d", mf_max_lat_table[i][j]); + } + printf("\n"); + } + } + + if (gpgpu_memlatency_stat & GPU_MEMLATSTAT_MC) { + printf("\nNumber of Memory Banks Accessed per Memory Operation per Warp (from 0):\n"); + unsigned long long accum_MCBs_accessed = 0; + unsigned long long tot_mem_ops_per_warp = 0; + for (i=0;i<= gpu_n_mem*4 ; i++ ) { + accum_MCBs_accessed += i*num_MCBs_accessed[i]; + tot_mem_ops_per_warp += num_MCBs_accessed[i]; + printf("%d\t", num_MCBs_accessed[i]); + } + + printf("\nAverage # of Memory Banks Accessed per Memory Operation per Warp=%f\n", (float)accum_MCBs_accessed/tot_mem_ops_per_warp); + + //printf("\nAverage Difference Between First and Last Response from Memory System per warp = "); + + + printf("\nposition of mrq chosen\n"); + + if (!gpgpu_dram_sched_queue_size) + j = 1024; + else + j = gpgpu_dram_sched_queue_size; + k=0;l=0; + for (i=0;i< j; i++ ) { + printf("%d\t", position_of_mrq_chosen[i]); + k += position_of_mrq_chosen[i]; + l += i*position_of_mrq_chosen[i]; + } + printf("\n"); + printf("\naverage position of mrq chosen = %f\n", (float)l/k); + } +} |
