Configuration for Python Benchmarks

By Robert S Cohn, Published: 09/08/2016, Last Updated: 09/08/2016

Configuration Info

Software

  • apt/atlas: installed with apt-get, Ubuntu 16.10, python 3.5.2, numpy 1.11.0, scipy 0.17.0
  • pip/openblas: installed with pip, Ubuntu 16.10, python 3.5.2, numpy 1.11.1, scipy 0.18.0;
  • Intel Python: Intel Distribution for Python 2017

Hardware

  • Xeon: Intel Xeon CPU E5-2698 v3 @ 2.30 GHz (2 sockets, 16 cores each, HT=off), 64 GB of RAM, 8 DIMMS of 8GB@2133MHz
  • Xeon Phi: Intel Intel(R) Xeon Phi(TM) CPU 7210 1.30 GHz, 96 GB of RAM, 6 DIMMS of 16GB@1200MHz

​Problem sizes

 

Hardware/problem size

dot

lu

det

inv

cholesky

fft

Xeon (32 core) &

Xeon Phi (64 core)

(20k, 10k) & (10k, 20k)

(35k, 35k)

(15k, 15k)

(25k, 25k)

(40k, 40k)

520k

Xeon (1 core)

(20k, 5k) & (5k,20k)

(20k, 20k)

(10k, 10k)

(10k, 10k)

Xeon Phi (1 core)

(20k, 300) & (300,20k)

(6k, 6k)

(4k, 4k)

(2k, 2k)

 

 

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804