[clblas] 57/61: adding performance data
Ghislain Vaillant
ghisvail-guest at moszumanska.debian.org
Fri Jul 24 22:49:49 UTC 2015
This is an automated email from the git hooks/post-receive script.
ghisvail-guest pushed a commit to branch master
in repository clblas.
commit 6311c6bbdc3c29174756bcc684f8709fe425df10
Author: David Tanner <guacamoleo at gmail.com>
Date: Wed Jul 1 16:54:16 2015 -0500
adding performance data
---
doc/performance/clBLAS_2.6.0/S9150/README.txt | 35 ++++
doc/performance/clBLAS_2.6.0/S9150/dgemm_32.csv | 181 +++++++++++++++++++++
doc/performance/clBLAS_2.6.0/S9150/dgemm_96.csv | 61 +++++++
doc/performance/clBLAS_2.6.0/S9150/dtrsm_192.csv | 31 ++++
.../clBLAS_2.6.0/S9150/generate_graphs.sh | 25 +++
doc/performance/clBLAS_2.6.0/S9150/peak_dp.csv | 181 +++++++++++++++++++++
doc/performance/clBLAS_2.6.0/S9150/peak_sp.csv | 181 +++++++++++++++++++++
doc/performance/clBLAS_2.6.0/S9150/sgemm_32.csv | 181 +++++++++++++++++++++
doc/performance/clBLAS_2.6.0/S9150/zgemm_32.csv | 181 +++++++++++++++++++++
doc/performance/clBLAS_2.6.0/S9150/zgemm_64.csv | 91 +++++++++++
doc/performance/cuBLAS_7.0/Tesla_K40/README.txt | 35 ++++
doc/performance/cuBLAS_7.0/Tesla_K40/dgemm.csv | 181 +++++++++++++++++++++
doc/performance/cuBLAS_7.0/Tesla_K40/dtrsm.csv | 31 ++++
doc/performance/cuBLAS_7.0/Tesla_K40/peak_dp.csv | 181 +++++++++++++++++++++
doc/performance/cuBLAS_7.0/Tesla_K40/peak_sp.csv | 181 +++++++++++++++++++++
doc/performance/cuBLAS_7.0/Tesla_K40/sgemm.csv | 181 +++++++++++++++++++++
doc/performance/cuBLAS_7.0/Tesla_K40/zgemm.csv | 181 +++++++++++++++++++++
17 files changed, 2119 insertions(+)
diff --git a/doc/performance/clBLAS_2.6.0/S9150/README.txt b/doc/performance/clBLAS_2.6.0/S9150/README.txt
new file mode 100644
index 0000000..e41487f
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/README.txt
@@ -0,0 +1,35 @@
+################################
+# #
+# Benchmarking Methodology #
+# #
+################################
+
+############
+# Hardware #
+############
+S9150
+
+############
+# Software #
+############
+CentOS 6.6
+clBLAS 2.6.0
+driver 14.502
+
+############
+# Settings #
+############
+gpu clocks: set to max level using proprietary tool though public alternatives exist
+clBLAS:
+ m=n=k=lda=ldb=ldc (for simplicity)
+ alpha=beta=1
+ gemms were column-major, op(A,B)=N,T
+
+############
+# Sampling #
+############
+For each data point, we took 10 samples. Each sample consists of 10 gemm calls with a wait afterward. Outlying samples beyond 1 standard deviation were removed (rarely if ever did this actually need to happen). Before running the 10 samples, one warm-up sample was executed (but not included in the stastics).
+
+GFlop/s was calculated as
+(2*m*n*k flops) / (host time for 10 kernels / 10) // real data
+(8*m*n*k flops) / (host time for 10 kernels / 10) // complex data
diff --git a/doc/performance/clBLAS_2.6.0/S9150/dgemm_32.csv b/doc/performance/clBLAS_2.6.0/S9150/dgemm_32.csv
new file mode 100644
index 0000000..63022ec
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/dgemm_32.csv
@@ -0,0 +1,181 @@
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diff --git a/doc/performance/clBLAS_2.6.0/S9150/dgemm_96.csv b/doc/performance/clBLAS_2.6.0/S9150/dgemm_96.csv
new file mode 100644
index 0000000..0178f30
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/dgemm_96.csv
@@ -0,0 +1,61 @@
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+5376,5376,5376,0,0,0,0,0,0,1.0,1.0,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150,1057.62
+5472,5472,5472,0,0,0,0,0,0,1.0,1.0,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150,1890.31
+5568,5568,5568,0,0,0,0,0,0,1.0,1.0,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150,1887.85
+5664,5664,5664,0,0,0,0,0,0,1.0,1.0,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150,1882.64
+5760,5760,5760,0,0,0,0,0,0,1.0,1.0,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150,1887.03
diff --git a/doc/performance/clBLAS_2.6.0/S9150/dtrsm_192.csv b/doc/performance/clBLAS_2.6.0/S9150/dtrsm_192.csv
new file mode 100644
index 0000000..89beaf7
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/dtrsm_192.csv
@@ -0,0 +1,31 @@
+m,n,k,lda,ldb,ldc,offa,offb,offc,alpha,beta,order,transa,transb,side,uplo,diag,function,device,library,label,GFLOPS
+192,192,192,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,8.9202
+384,384,384,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,46.185
+576,576,576,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,126.686
+768,768,768,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,235.366
+960,960,960,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,375.406
+1152,1152,1152,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,475.497
+1344,1344,1344,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,599.527
+1536,1536,1536,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,437.835
+1728,1728,1728,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,778.815
+1920,1920,1920,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,845.844
+2112,2112,2112,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,969.624
+2304,2304,2304,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,943.48
+2496,2496,2496,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,1026.58
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+5760,5760,5760,0,0,0,0,0,0,1.0,1.0,column,none,none,right,upper,unit,dtrsm,gpu,clblas,s9150_dtrsm_14502,1199.05
diff --git a/doc/performance/clBLAS_2.6.0/S9150/generate_graphs.sh b/doc/performance/clBLAS_2.6.0/S9150/generate_graphs.sh
new file mode 100644
index 0000000..d32799c
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/generate_graphs.sh
@@ -0,0 +1,25 @@
+
+# sgemm AMD vs NVIDIA
+python ../../../../src/scripts/perf/plotPerformance.py \
+ -d peak_sp.csv \
+ -d ../../cuBLAS_7.0/Tesla_K40/peak_sp.csv \
+ -d sgemm_96.csv \
+ -d ../../cuBLAS_7.0/Tesla_K40/sgemm.csv \
+ -x sizem --x_axis_label "m,n,k" \
+ -y gflops --y_axis_label "GFlop/s" \
+ --x_axis_scale linear \
+ --plot label \
+ --title "sgemm S9150 vs K40" --outputfile sgemm_S9150_K40.png
+
+# dgemm AMD vs NVIDIA
+python ../../../../src/scripts/perf/plotPerformance.py \
+ -d peak_dp.csv \
+ -d ../../cuBLAS_7.0/Tesla_K40/peak_dp.csv \
+ -d dgemm_96.csv \
+ -d ../../cuBLAS_7.0/Tesla_K40/dgemm.csv \
+ -x sizem --x_axis_label "m,n,k" \
+ -y gflops --y_axis_label "GFlop/s" \
+ --x_axis_scale linear \
+ --plot label \
+ --title "dgemm S9150 vs K40" --outputfile dgemm_S9150_K40.png
+
diff --git a/doc/performance/clBLAS_2.6.0/S9150/peak_dp.csv b/doc/performance/clBLAS_2.6.0/S9150/peak_dp.csv
new file mode 100644
index 0000000..2a64d74
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/peak_dp.csv
@@ -0,0 +1,181 @@
+m,n,k,lda,ldb,ldc,offa,offb,offc,alpha,beta,order,transa,transb,side,uplo,diag,function,device,library,label,GFLOPS
+32,32,32,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+64,64,64,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+96,96,96,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+128,128,128,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+160,160,160,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+192,192,192,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+224,224,224,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+256,256,256,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+288,288,288,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+320,320,320,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+352,352,352,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+384,384,384,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+416,416,416,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
+448,448,448,0,0,0,0,0,0,1,1,column,none,transpose,left,upper,unit,dgemm,gpu,clblas,S9150 Peak,2530
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diff --git a/doc/performance/clBLAS_2.6.0/S9150/peak_sp.csv b/doc/performance/clBLAS_2.6.0/S9150/peak_sp.csv
new file mode 100644
index 0000000..241be53
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/peak_sp.csv
@@ -0,0 +1,181 @@
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diff --git a/doc/performance/clBLAS_2.6.0/S9150/sgemm_32.csv b/doc/performance/clBLAS_2.6.0/S9150/sgemm_32.csv
new file mode 100644
index 0000000..bf17343
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/sgemm_32.csv
@@ -0,0 +1,181 @@
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diff --git a/doc/performance/clBLAS_2.6.0/S9150/zgemm_32.csv b/doc/performance/clBLAS_2.6.0/S9150/zgemm_32.csv
new file mode 100644
index 0000000..fca115e
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/zgemm_32.csv
@@ -0,0 +1,181 @@
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diff --git a/doc/performance/clBLAS_2.6.0/S9150/zgemm_64.csv b/doc/performance/clBLAS_2.6.0/S9150/zgemm_64.csv
new file mode 100644
index 0000000..3542541
--- /dev/null
+++ b/doc/performance/clBLAS_2.6.0/S9150/zgemm_64.csv
@@ -0,0 +1,91 @@
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diff --git a/doc/performance/cuBLAS_7.0/Tesla_K40/README.txt b/doc/performance/cuBLAS_7.0/Tesla_K40/README.txt
new file mode 100644
index 0000000..162fdd6
--- /dev/null
+++ b/doc/performance/cuBLAS_7.0/Tesla_K40/README.txt
@@ -0,0 +1,35 @@
+################################
+# #
+# Benchmarking Methodology #
+# #
+################################
+
+############
+# Hardware #
+############
+Tesla K40
+
+############
+# Software #
+############
+openSUSE 13.2
+cuBLAS 7.0
+driver 346.47
+
+############
+# Settings #
+############
+gpu clocks: set to boost level using nvidia-smi
+cuBLAS:
+ m=n=k=lda=ldb=ldc (for simplicity)
+ alpha=beta=1
+ gemms were column-major, op(A,B)=N,T
+
+############
+# Sampling #
+############
+For each data point, we took 10 samples. Each sample consists of 10 gemm calls with a wait afterward. Outlying samples beyond 1 standard deviation were removed (rarely if ever did this actually need to happen). Before running the 10 samples, one warm-up sample was executed (but not included in the stastics).
+
+GFlop/s was calculated as
+(2*m*n*k flops) / (host time for 10 kernels / 10) // real data
+(8*m*n*k flops) / (host time for 10 kernels / 10) // complex data
diff --git a/doc/performance/cuBLAS_7.0/Tesla_K40/dgemm.csv b/doc/performance/cuBLAS_7.0/Tesla_K40/dgemm.csv
new file mode 100644
index 0000000..7688ffb
--- /dev/null
+++ b/doc/performance/cuBLAS_7.0/Tesla_K40/dgemm.csv
@@ -0,0 +1,181 @@
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new file mode 100644
index 0000000..0817edf
--- /dev/null
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new file mode 100644
index 0000000..17460b3
--- /dev/null
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diff --git a/doc/performance/cuBLAS_7.0/Tesla_K40/peak_sp.csv b/doc/performance/cuBLAS_7.0/Tesla_K40/peak_sp.csv
new file mode 100644
index 0000000..6845b7c
--- /dev/null
+++ b/doc/performance/cuBLAS_7.0/Tesla_K40/peak_sp.csv
@@ -0,0 +1,181 @@
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diff --git a/doc/performance/cuBLAS_7.0/Tesla_K40/sgemm.csv b/doc/performance/cuBLAS_7.0/Tesla_K40/sgemm.csv
new file mode 100644
index 0000000..449bfb6
--- /dev/null
+++ b/doc/performance/cuBLAS_7.0/Tesla_K40/sgemm.csv
@@ -0,0 +1,181 @@
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diff --git a/doc/performance/cuBLAS_7.0/Tesla_K40/zgemm.csv b/doc/performance/cuBLAS_7.0/Tesla_K40/zgemm.csv
new file mode 100644
index 0000000..dca0a1d
--- /dev/null
+++ b/doc/performance/cuBLAS_7.0/Tesla_K40/zgemm.csv
@@ -0,0 +1,181 @@
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--
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