andre/blas-benchmarks
1
0
Fork 0
mirror of https://github.com/andre-wojtowicz/blas-benchmarks synced 2024-11-21 14:35:27 +01:00
Code Releases Activity
Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R
60 Commits 1 Branch 2 Tags 22 MiB
Shell 37.6%
RMarkdown 35.5%
R 26.9%
master
Go to file
Andrzej Wójtowicz 9432283582 updated timing for Intel Xeon E3-1275 v5; 
added possible compilation fix for invalid operands error in GotoBLAS2
2016-12-01 12:28:46 +01:00
gen updated timing for Intel Xeon E3-1275 v5; 2016-12-01 12:28:46 +01:00
.gitignore updated readme (first results) 2016-05-26 19:30:19 +02:00
benchmark-gcbd.R added gcbd benchmark; 2016-05-20 12:54:32 +02:00
benchmark-revolution.R added saving host info; 2016-05-19 19:11:33 +02:00
benchmark-sample.R added naive cublas optimize 2016-05-30 17:49:09 +02:00
benchmark-urbanek.R added saving host info; 2016-05-19 19:11:33 +02:00
master-ctrl-slaves.sh added gcbd benchmark; 2016-05-20 12:54:32 +02:00
README.md updated timing for Intel Xeon E3-1275 v5; 2016-12-01 12:28:46 +01:00
results.Rmd updated timing for Intel Xeon E3-1275 v5; 2016-12-01 12:28:46 +01:00
slave-cmds.sh updated timing for Intel Xeon E3-1275 v5; 2016-12-01 12:28:46 +01:00

README.md

BLAS libraries benchmarks

Andrzej Wójtowicz

DOI

Document generation date: 2016-12-01 12:24:11

This document presents timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R on diverse CPUs and GPUs.

Changelog

  • 2016-12-01: results: updated timing for Intel Xeon E3-1275 v5; code: added possible compilation fix for invalid operands error in GotoBLAS2.
  • 2016-11-30: results: added Intel Xeon E5-1620 v4.
  • 2016-11-29: results: added Intel Xeon E3-1275 v5.
  • 2016-11-25: results: added Intel Atom C2758.
  • 2016-07-14: results: added Intel Core i5-6500; changed results view of gcbd benchmark to relative performance gain; changed reference CPU (Intel Pentium Dual-Core E5300) and GPU (NVIDIA GeForce GT 630M); code: fixed target architecture detection for Intel Core i5-6500-like CPUs in multi-threaded Atlas library; added info how to force target architecture in GotoBLAS2 and BLIS libraries.

Table of Contents

  1. Configuration
  2. Results per host
  3. Results per library

Configuration

OS: Debian Jessie, kernel 4.4

R software: Microsoft R Open (3.2.4)

Libraries:

CPU (single-threaded) CPU (multi-threaded) GPU
Netlib (debian package, blas 1.2.20110419, lapack 3.5.0) OpenBLAS (debian package, 0.2.12) NVIDIA cuBLAS (NVBLAS 6.5 + Intel MKL)
ATLAS (debian package, 3.10.2) ATLAS (dev branch, 3.11.38)
GotoBLAS2 (Survive fork, 3.141)
Intel MKL (part of RevoMath package, 3.2.4)
BLIS (dev branch, 0.2.0+/17.05.2016)

Hosts:

No. CPU GPU
1. Intel Xeon E3-1275 v5 -
2. Intel Xeon E5-1620 v4 -
3. Intel Core i7-4790K (OC 4.5 GHz) MSI GeForce GTX 980 Ti Lightning
4. Intel Core i5-4590 NVIDIA GeForce GT 430
5. Intel Core i5-4590 NVIDIA GeForce GTX 750 Ti
6. Intel Core i5-6500 -
7. Intel Core i5-3570 -
8. Intel Core i3-2120 -
9. Intel Core i3-3120M -
10. Intel Core i5-3317U NVIDIA GeForce GT 630M
11. Intel Atom C2758 -
12. Intel Pentium Dual-Core E5300 -

Benchmarks: R-benchmark-25, Revolution, Gcbd.

Results per host

Intel Xeon E3-1275 v5

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Xeon E5-1620 v4

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i7-4790K + MSI GeForce GTX 980 Ti Lightning

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i5-4590 + NVIDIA GeForce GT 430

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i5-4590 + NVIDIA GeForce GTX 750 Ti

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i5-6500

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i5-3570

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i3-2120

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i3-3120M

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Core i5-3317U + NVIDIA GeForce GT 630M

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Atom C2758

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

ATLAS (mt) crashes in this test

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

ATLAS (mt) crashes in this test

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

ATLAS (mt) crashes in this test

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Intel Pentium Dual-Core E5300

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

BLIS hangs in this test

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Netlib - from 50 to 5 runs - higher is better

Results per library

Netlib

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

ATLAS (st)

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

OpenBLAS

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

ATLAS (mt)

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Library crashes on Intel Atom C2758 in this test

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Library crashes on Intel Atom C2758 in this test

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Library crashes on Intel Atom C2758 in this test

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

GotoBLAS2

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

MKL

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

BLIS

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Library hangs on Intel Pentium Dual-Core E5300 in this test

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: Intel Pentium Dual-Core E5300 - from 50 to 5 runs - higher is better

cuBLAS

R-benchmark-25

2800x2800 cross-product matrix

Time in seconds - 10 runs - lower is better

Linear regr. over a 2000x2000 matrix

Time in seconds - 10 runs - lower is better

Eigenvalues of a 600x600 random matrix

Time in seconds - 10 runs - lower is better

Determinant of a 2500x2500 random matrix

Time in seconds - 10 runs - lower is better

Cholesky decomposition of a 3000x3000 matrix

Time in seconds - 10 runs - lower is better

Inverse of a 1600x1600 random matrix

Time in seconds - 10 runs - lower is better

Escoufier's method on a 45x45 matrix

Time in seconds - 10 runs - lower is better

Revolution benchmark

Matrix Multiply

Time in seconds - 10 runs - lower is better

Cholesky Factorization

Time in seconds - 10 runs - lower is better

Singular Value Deomposition

Time in seconds - 10 runs - lower is better

Principal Components Analysis

Time in seconds - 10 runs - lower is better

Linear Discriminant Analysis

Time in seconds - 10 runs - lower is better

Gcbd benchmark

Matrix Multiply

Performance gain regarding matrix size - reference: NVIDIA GeForce GT 630M - from 50 to 5 runs - higher is better

QR Decomposition

Performance gain regarding matrix size - reference: NVIDIA GeForce GT 630M - from 50 to 5 runs - higher is better

Singular Value Deomposition

Performance gain regarding matrix size - reference: NVIDIA GeForce GT 630M - from 50 to 5 runs - higher is better

Triangular Decomposition

Performance gain regarding matrix size - reference: NVIDIA GeForce GT 630M - from 50 to 5 runs - higher is better