From 4eef1dcfccc77033219bd9e6e1aaa3eb5d169faa Mon Sep 17 00:00:00 2001 From: "Daniel J. Magee" Date: Fri, 22 Sep 2023 15:36:04 -0600 Subject: [PATCH] Stream results updated roci results. --- .../10_microbenchmarks/M1_STREAM/STREAM.rst | 27 ++++++- .../10_microbenchmarks/M1_STREAM/cpu.gp | 15 ++-- .../stream-cts1_ats5intel-oneapi-openmpi.csv | 8 -- .../stream-xrds_ats5cce-cray-mpich.csv | 6 ++ .../M1_STREAM/stream_cts1.csv | 2 +- .../stream_roci_hbm_nid00138.json | 1 + .../result_tests/stream_roci_nid001038.json | 1 + utils/pav_config/tests/stream.yaml | 74 +++++++++++++++---- utils/pavparse | 2 +- 9 files changed, 105 insertions(+), 31 deletions(-) delete mode 100644 doc/sphinx/10_microbenchmarks/M1_STREAM/stream-cts1_ats5intel-oneapi-openmpi.csv create mode 100644 doc/sphinx/10_microbenchmarks/M1_STREAM/stream-xrds_ats5cce-cray-mpich.csv create mode 100644 utils/pav_config/result_tests/stream_roci_hbm_nid00138.json create mode 100644 utils/pav_config/result_tests/stream_roci_nid001038.json diff --git a/doc/sphinx/10_microbenchmarks/M1_STREAM/STREAM.rst b/doc/sphinx/10_microbenchmarks/M1_STREAM/STREAM.rst index df20b3c6..fdbe8028 100644 --- a/doc/sphinx/10_microbenchmarks/M1_STREAM/STREAM.rst +++ b/doc/sphinx/10_microbenchmarks/M1_STREAM/STREAM.rst @@ -21,15 +21,27 @@ Problem There are four memory operations that the STREAM benchmark measures: Copy, Scale, Add, and Triad. Copy - Copies data from one array to another: + +.. math:: + b[i] = a[i] Scale - Multiplies each array element by a constant, a daxpy operation. + +.. math:: + b[i] = q*a[i] Add - Adds two arrays element-wise: + +.. math:: + c[i] = a[i] + b[i] Triad - Multiply-add operation: + +.. math:: + a[i] = b[i] + q*c[i] These operations stress memory and floating point pipelines.They test memory transfer speed, computation speed, and different combinations of these two components of overall performance performance. @@ -37,7 +49,7 @@ These operations stress memory and floating point pipelines.They test memory tra Figure of Merit --------------- -The primary FOM is the max Triad rate (MB/s). +The primary FOM is the MAX Triad rate (MB/s). Run Rules --------- @@ -118,6 +130,17 @@ Example Results ATS-3 Rocinante HBM ------------------- +.. csv-table:: STREAM microbenchmark bandwidth measurement + :file: stream-xrds_ats5cce-cray-mpich.csv + :align: center + :widths: 10, 10, 10 + :header-rows: 1 + +.. figure:: stream_cpu_ats3.png + :align: center + :scale: 50% + :alt: STREAM microbenchmark bandwidth measurement + CTS-1 Snow ----------- @@ -127,7 +150,7 @@ CTS-1 Snow :widths: 10, 10, 10 :header-rows: 1 -.. figure:: cpu_cts1.png +.. figure:: stream_cpu_cts1.png :align: center :scale: 50% :alt: STREAM microbenchmark bandwidth measurement diff --git a/doc/sphinx/10_microbenchmarks/M1_STREAM/cpu.gp b/doc/sphinx/10_microbenchmarks/M1_STREAM/cpu.gp index 6af002ff..9c59a68f 100644 --- a/doc/sphinx/10_microbenchmarks/M1_STREAM/cpu.gp +++ b/doc/sphinx/10_microbenchmarks/M1_STREAM/cpu.gp @@ -1,20 +1,21 @@ #!/usr/bin/gnuplot #STREAM set terminal pngcairo enhanced size 1024, 768 dashed font 'Helvetica,18' -set output "cpu_cts1.png" +set output "stream_cpu_cts1.png" set title "STREAM Single node bandwidth" font "serif,22" -set ylabel "Per core triad (MB/s)" -set y2label "FOM: Total Triad (MB/s)" +set ylabel "Per core triad BW (MB/s)" +set y2label "FOM: Total triad BW (MB/s)" set xrange [1:40] -set yrange [3000:15000] +#set yrange [3000:15000] # set logscale x 2 -# set logscale y 2 +set logscale y 2 set grid show grid +set key left top set datafile separator comma set key autotitle columnheader @@ -24,5 +25,9 @@ set style line 2 linetype 1 dashtype 2 linecolor rgb "#FF0000" linewidth 2 plot "stream_cts1.csv" using 1:2 with linespoints linestyle 1 axis x1y1, "" using 1:3 with line linestyle 2 axis x1y2 +set output "stream_cpu_ats3.png" +set xrange [4:115] +plot "stream-xrds_ats5cce-cray-mpich.csv" using 1:2 with linespoints linestyle 1 axis x1y1, "" using 1:3 with line linestyle 2 axis x1y2 + diff --git a/doc/sphinx/10_microbenchmarks/M1_STREAM/stream-cts1_ats5intel-oneapi-openmpi.csv b/doc/sphinx/10_microbenchmarks/M1_STREAM/stream-cts1_ats5intel-oneapi-openmpi.csv deleted file mode 100644 index 1eeddf3c..00000000 --- a/doc/sphinx/10_microbenchmarks/M1_STREAM/stream-cts1_ats5intel-oneapi-openmpi.csv +++ /dev/null @@ -1,8 +0,0 @@ -No. Cores,Bandwidth -1,10919.0 -2,10809.5 -4,10481.3 -8,8326.0 -16,7954.7 -32,4983.1 -36,3023.6 diff --git a/doc/sphinx/10_microbenchmarks/M1_STREAM/stream-xrds_ats5cce-cray-mpich.csv b/doc/sphinx/10_microbenchmarks/M1_STREAM/stream-xrds_ats5cce-cray-mpich.csv new file mode 100644 index 00000000..5faf26b5 --- /dev/null +++ b/doc/sphinx/10_microbenchmarks/M1_STREAM/stream-xrds_ats5cce-cray-mpich.csv @@ -0,0 +1,6 @@ +No. Cores,Per Core Bandwidth (MB/s), Total Bandwidth (MB/s) +8,2.304e+04,1.843e+05 +32,1.883e+04,6.025e+05 +56,1.452e+04,8.131e+05 +88,1.566e+04,1.378e+06 +112,1.414e+04,1.584e+06 diff --git a/doc/sphinx/10_microbenchmarks/M1_STREAM/stream_cts1.csv b/doc/sphinx/10_microbenchmarks/M1_STREAM/stream_cts1.csv index dd40b0ba..7c3057b7 100644 --- a/doc/sphinx/10_microbenchmarks/M1_STREAM/stream_cts1.csv +++ b/doc/sphinx/10_microbenchmarks/M1_STREAM/stream_cts1.csv @@ -1,4 +1,4 @@ -No. Cores,Bandwidth (MB/s),Total Bandwidth (MB/s) +No. Cores,Per Core Bandwidth (MB/s),Total Bandwidth (MB/s) 1,10690.1,10690.1 2,10701.3,21402.6 4,9316.5,37266.0 diff --git a/utils/pav_config/result_tests/stream_roci_hbm_nid00138.json b/utils/pav_config/result_tests/stream_roci_hbm_nid00138.json new file mode 100644 index 00000000..6e25d112 --- /dev/null +++ b/utils/pav_config/result_tests/stream_roci_hbm_nid00138.json @@ -0,0 +1 @@ +[{"name": "stream.xrds_ats5.cce-15.0.1_112_cray-mpich-8.1.25", "id": 1165, "test_version": "0.0", "pav_version": "2.4", "created": 1695236581.2276907, "started": 1695236737.5293384, "finished": 1695236746.368864, "duration": 8.839525699615479, "user": "dmagee", "job_info": {"id": "238972", "sys_name": "rocinante"}, "permute_on": {"compilers": null, "mpis": null, "tpn": null}, "sched": 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"stream_cache_array_size": 35000000, "ARRAY_SIZE": 35000000, "NTIMES": 10, "result": "PASS", "triad_once": [22357.7, 22004.4, 22400.1, 22109.9, 22505.1, 21908.1, 21813.7, 22465.3], "per_proc_bw": 22195.537500000002, "total_bw": 177564.30000000002, "results_log": "/usr/projects/hpcml/tools/dmagee/ats5/pav_working_dir/test_runs/1306/results.log"}] \ No newline at end of file diff --git a/utils/pav_config/tests/stream.yaml b/utils/pav_config/tests/stream.yaml index 59ddf0e6..13c3d844 100644 --- a/utils/pav_config/tests/stream.yaml +++ b/utils/pav_config/tests/stream.yaml @@ -32,7 +32,7 @@ _base: Speed Network backbone. INSTRUCTIONS: - + 1) STREAM requires different amounts of memory to run on different systems, depending on both the system cache size(s) and the granularity of the system timer. @@ -56,7 +56,7 @@ _base: granularity. 20 "ticks" at 10 ms/tic is 200 milliseconds. If the chip is capable of 10 GB/s, it moves 2 GB in 200 msec. This means the each array must be at least 1 GB, or 128M elements. - + Version 5.10 increases the default array size from 2 million elements to 10 million elements in response to the increasing size of L3 caches. The new default size is large enough for caches @@ -65,7 +65,7 @@ _base: to "ssize_t", which allows array indices >2^32 (4 billion) on properly configured 64-bit systems. Additional compiler options (such as "-mcmodel=medium") may be required for large memory runs. - + Array size can be set at compile time without modifying the source code for the (many) compilers that support preprocessor definitions on the compile line. E.g., @@ -92,14 +92,14 @@ _base: CACHE: 105 SOCKETS: 2 4 x (105M * 2 ) / 3 ARRAYS / 8 BYTES/ELEMENT = 35 Mi elements = 35000000 - + scheduler: slurm schedule: nodes: '10' # 'ALL' tasks_per_node: 1 share_allocation: false - permute_on: + permute_on: - compilers - mpis - omp_num_threads @@ -344,6 +344,7 @@ spr_hbm_xrds: - 'module load {{compilers.name}}/{{compilers.version}}' - 'module load {{mpis.modulefile}}' + cts1_ats5: inherits_from: cts1_xrds subtitle: '{{compilers.name}}-{{compilers.version}}_{{tpn}}_{{mpis.name}}-{{mpis.version}}' @@ -354,31 +355,64 @@ cts1_ats5: - tpn variables: - numnodes: '1' tpn: [1, 2, 4, 8, 16, 32, 36] + numnodes: '1' omp_num_threads: '1' + schedule: + nodes: "{{numnodes}}" + share_allocation: true + tasks_per_node: "{{tpn}}" + run: env: GOMP_CPU_AFFINITY: '' + result_parse: + regex: + triad_once: + regex: '^Triad: *([0-9\.]*) ' + action: store + match_select: last + files: '*stream' + + result_evaluate: + total_bandwidth: '{{tpn}}*triad_once' + xrds_ats5: - inherits_from: cts1_ats5 + inherits_from: _base + subtitle: '{{compilers.name}}-{{compilers.version}}_{{tpn}}_{{mpis.name}}-{{mpis.version}}' + + permute_on: + - compilers + - mpis + - tpn only_if: - "{{sys_name}}": ['crossroads', 'rocinante'] + "{{sys_os.name}}": [ cos ] variables: tpn: [8, 32, 56, 88, 112] arch: "spr" - stream_array_size: 35e6 - omp_places: [cores, sockets] - omp_proc_bind: [true] - + target: "xrds-stream.exe" + stream_array_size: 35000000 + #omp_places: [cores, sockets] + #omp_proc_bind: [true] + numnodes: '1' + omp_num_threads: '1' + + chunk: '{{chunk_ids.0}}' + schedule: - partition: 'hbm' + partition: 'hbm' + nodes: "{{numnodes}}" + share_allocation: true + tasks_per_node: "{{tpn}}" + chunking: + size: 1 build: + on_nodes: false preamble: #- 'module load friendly-testing' #'module rm craype-hugepages2M' - 'module swap PrgEnv-${PE_ENV,,} PrgEnv-{{compilers.pe_env}}' @@ -394,4 +428,16 @@ xrds_ats5: - 'module load {{mpis.name}}/{{mpis.version}}' env: - GOMP_CPU_AFFINITY: '' \ No newline at end of file + GOMP_CPU_AFFINITY: '' + + result_parse: + regex: + triad_once: + regex: '^Triad: *([0-9\.]*) ' + action: store + match_select: all + files: '*stream' + + result_evaluate: + per_proc_bw: 'sum(triad_once)/len(triad_once)' + total_bw: 'sum(triad_once)' diff --git a/utils/pavparse b/utils/pavparse index 58f82a53..ebf5a273 100755 --- a/utils/pavparse +++ b/utils/pavparse @@ -185,7 +185,7 @@ if __name__ == '__main__': gdf.index.name = index_title if value_title: gdf.columns = value_title - grouped_dfs[gtitle] = gdf.squeeze().map(fmt.format) + grouped_dfs[gtitle] = gdf.applymap(fmt.format) df_mean[gtitle] = gdf.mean().values[0] plt.legend(plt_legend)