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mirror of https://github.com/andre-wojtowicz/blas-benchmarks synced 2024-12-22 11:25:29 +01:00

added new nvidia gpus and intel cpu;

fixed gotoblas2 results;
added package versions
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Andrzej Wójtowicz 2016-05-31 00:00:52 +02:00
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README.md
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# BLAS libraries benchmarks
Andrzej Wójtowicz
Document generation date: 2016-05-26 19:23:05
Document generation date: 2016-05-30 23:06:11
@ -10,9 +10,11 @@ Document generation date: 2016-05-26 19:23:05
1. [Configuration](#configuration)
2. [Results per host](#results-per-host)
* [Intel Core i5-4590 + NVIDIA GeForce GT 430](#intel-core-i5-4590--nvidia-geforce-gt-430)
* [Intel Core i5-4590 + NVIDIA GeForce GTX 750 Ti](#intel-core-i5-4590--nvidia-geforce-gtx-750-ti)
* [Intel Core i5-3570](#intel-core-i5-3570)
* [Intel Core i3-2120](#intel-core-i3-2120)
* [Intel Core i3-3120M](#intel-core-i3-3120m)
* [Intel Core i5-3317U + NVIDIA GeForce GT 630M](#intel-core-i5-3317u--nvidia-geforce-gt-630m)
3. [Results per library](#results-per-library)
* [Netlib](#netlib)
* [Atlas (st)](#atlas-st)
@ -21,31 +23,34 @@ Document generation date: 2016-05-26 19:23:05
* [GotoBLAS2](#gotoblas2)
* [MKL](#mkl)
* [BLIS](#blis)
* [cuBLAS](#cublas)
***
## Configuration
**R software**: [Microsoft R Open](https://mran.microsoft.com/open/).
**R software**: [Microsoft R Open](https://mran.microsoft.com/open/) (3.2.4).
**Libraries**:
|CPU (single-threaded)|CPU (multi-threaded)|GPU|
|---|---|---|
|[Netlib](http://www.netlib.org/) (debian package)|[OpenBLAS](http://www.openblas.net/) (debian package)|[NVIDIA cuBLAS](https://developer.nvidia.com/cublas) (NVBLAS + Intel MKL)|
|[ATLAS](http://math-atlas.sourceforge.net/) (debian package)|[ATLAS](http://math-atlas.sourceforge.net/) (dev branch)| |
| |[GotoBLAS2](https://prs.ism.ac.jp/~nakama/SurviveGotoBLAS2/) (Survive fork)| |
| |[Intel MKL](https://mran.microsoft.com/download/) (part of Microsoft R Open)| |
| |[BLIS](https://github.com/flame/blis)| |
|[Netlib](http://www.netlib.org/) (debian package, blas 1.2.20110419, lapack 3.5.0)|[OpenBLAS](http://www.openblas.net/) (debian package, 0.2.12)|[NVIDIA cuBLAS](https://developer.nvidia.com/cublas) (NVBLAS 6.5 + Intel MKL)|
|[ATLAS](http://math-atlas.sourceforge.net/) (debian package, 3.10.2)|[ATLAS](http://math-atlas.sourceforge.net/) (dev branch, 3.11.38)| |
| |[GotoBLAS2](https://prs.ism.ac.jp/~nakama/SurviveGotoBLAS2/) (Survive fork, 3.141)| |
| |[Intel MKL](https://mran.microsoft.com/download/) (part of RevoMath package, 3.2.4)| |
| |[BLIS](https://github.com/flame/blis) (dev branch, 0.2.0+/17.05.2016)| |
**Hosts**:
|No.|CPU|GPU|
|---|---|---|
|1.|[Intel Core i5-4590](http://ark.intel.com/products/80815/Intel-Core-i5-4590-Processor-6M-Cache-up-to-3_70-GHz)|[NVIDIA GeForce GT 430](http://www.geforce.com/hardware/desktop-gpus/geforce-gt-430/specifications)|
|2.|[Intel Core i5-3570](http://ark.intel.com/products/65702/Intel-Core-i5-3570-Processor-6M-Cache-up-to-3_80-GHz)| - |
|3.|[Intel Core i3-2120](http://ark.intel.com/products/53426/Intel-Core-i3-2120-Processor-3M-Cache-3_30-GHz)| - |
|4.|[Intel Core i3-3120M](http://ark.intel.com/products/71465/Intel-Core-i3-3120M-Processor-3M-Cache-2_50-GHz)| - |
|2.|[Intel Core i5-4590](http://ark.intel.com/products/80815/Intel-Core-i5-4590-Processor-6M-Cache-up-to-3_70-GHz)|[NVIDIA GeForce GTX 750 Ti](http://www.geforce.com/hardware/desktop-gpus/geforce-gtx-750-ti/specifications)|
|3.|[Intel Core i5-3570](http://ark.intel.com/products/65702/Intel-Core-i5-3570-Processor-6M-Cache-up-to-3_80-GHz)| - |
|4.|[Intel Core i3-2120](http://ark.intel.com/products/53426/Intel-Core-i3-2120-Processor-3M-Cache-3_30-GHz)| - |
|5.|[Intel Core i3-3120M](http://ark.intel.com/products/71465/Intel-Core-i3-3120M-Processor-3M-Cache-2_50-GHz)| - |
|6.|[Intel Core i5-3317U](http://ark.intel.com/products/65707/Intel-Core-i5-3317U-Processor-3M-Cache-up-to-2_60-GHz)|[NVIDIA GeForce GT 630M](http://www.geforce.com/hardware/notebook-gpus/geforce-gt-630m/specifications)|
**Benchmarks**: [Urbanek](http://r.research.att.com/benchmarks/R-benchmark-25.R), [Revolution](https://gist.github.com/andrie/24c9672f1ea39af89c66#file-rro-mkl-benchmark-r), [Gcbd](https://cran.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf).
@ -193,7 +198,7 @@ Time in seconds regarding matrix size - right panel on log scale - from 50 to
## Intel Core i5-3570
## Intel Core i5-4590 + NVIDIA GeForce GTX 750 Ti
@ -331,7 +336,7 @@ Time in seconds regarding matrix size - right panel on log scale - from 50 to
## Intel Core i3-2120
## Intel Core i5-3570
@ -469,7 +474,7 @@ Time in seconds regarding matrix size - right panel on log scale - from 50 to
## Intel Core i3-3120M
## Intel Core i3-2120
@ -607,6 +612,282 @@ Time in seconds regarding matrix size - right panel on log scale - from 50 to
## Intel Core i3-3120M
### Urbanek benchmark
#### 2800x2800 cross-product matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t1.png)
#### Linear regr. over a 3000x3000 matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t2.png)
#### Eigenvalues of a 640x640 random matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t3.png)
#### Determinant of a 2500x2500 random matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t4.png)
#### Cholesky decomposition of a 3000x3000 matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t5.png)
#### Inverse of a 1600x1600 random matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t6.png)
#### Escoufier's method on a 45x45 matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b1_t7.png)
### Revolution benchmark
#### Matrix Multiply
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b2_t1.png)
#### Cholesky Factorization
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b2_t2.png)
#### Singular Value Deomposition
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b2_t3.png)
#### Principal Components Analysis
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b2_t4.png)
#### Linear Discriminant Analysis
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h5_b2_t5.png)
### Gcbd benchmark
#### Matrix Multiply
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h5_b3_t1.png)![](gen/img/img_ph_h5_b3_t1b.png)
#### QR Decomposition
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h5_b3_t2.png)![](gen/img/img_ph_h5_b3_t2b.png)
#### Singular Value Deomposition
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h5_b3_t3.png)![](gen/img/img_ph_h5_b3_t3b.png)
#### Triangular Decomposition
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h5_b3_t4.png)![](gen/img/img_ph_h5_b3_t4b.png)
## Intel Core i5-3317U + NVIDIA GeForce GT 630M
### Urbanek benchmark
#### 2800x2800 cross-product matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t1.png)
#### Linear regr. over a 3000x3000 matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t2.png)
#### Eigenvalues of a 640x640 random matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t3.png)
#### Determinant of a 2500x2500 random matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t4.png)
#### Cholesky decomposition of a 3000x3000 matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t5.png)
#### Inverse of a 1600x1600 random matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t6.png)
#### Escoufier's method on a 45x45 matrix
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b1_t7.png)
### Revolution benchmark
#### Matrix Multiply
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b2_t1.png)
#### Cholesky Factorization
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b2_t2.png)
#### Singular Value Deomposition
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b2_t3.png)
#### Principal Components Analysis
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b2_t4.png)
#### Linear Discriminant Analysis
Time in seconds - 10 runs - lower is better
![](gen/img/img_ph_h6_b2_t5.png)
### Gcbd benchmark
#### Matrix Multiply
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h6_b3_t1.png)![](gen/img/img_ph_h6_b3_t1b.png)
#### QR Decomposition
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h6_b3_t2.png)![](gen/img/img_ph_h6_b3_t2b.png)
#### Singular Value Deomposition
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h6_b3_t3.png)![](gen/img/img_ph_h6_b3_t3b.png)
#### Triangular Decomposition
Time in seconds regarding matrix size - right panel on log scale - from 50 to 5 runs - lower is better
![](gen/img/img_ph_h6_b3_t4.png)![](gen/img/img_ph_h6_b3_t4b.png)
# Results per library

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