Blog post

Something Old to be New Again?

In the past couple of years I've noticed a trend to "re-invent" technology or re-brand old ideas and concepts from previous computing generations.

Authored by Clay B. (Blackbelt) Last updated on 03/05/2019 - 23:48
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Authored by Last updated on 07/06/2019 - 16:40
Article

Intel® Parallel Computing Center at CSC – IT Center for Science

CSC – IT Center Science will, in collaboration with researchers in atmospheric- and environmental science.
Authored by admin Last updated on 03/09/2019 - 12:20
Blog post

The Unfairness of Good Syntax

The unfairness of good syntax - bad syntax is a problem; good syntax is not a solution.
Authored by Last updated on 07/04/2019 - 11:17
Article

Intel® Parallel Computing Center at Lomonosov Moscow State University

The aim of this project is to demonstrate the solving quantum chemistry problems.
Authored by admin Last updated on 03/09/2019 - 12:20
Article

Intel® Parallel Computing Center at Information Technology Center (ITC), the University of Tokyo

Information Technology Center (ITC), The University of Tokyo
Authored by admin Last updated on 03/09/2019 - 12:20
Article

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
Article

Intel® Parallel Computing Center at Hartree Centre, STFC

Intel® PCC at the Hartree Centre is to enable UK academic and industrial codes to exploit the parallel and energy.
Authored by admin Last updated on 03/09/2019 - 12:20
Article

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Authored by Last updated on 06/14/2019 - 11:50
Article

Intel® Parallel Computing Center at SCI Institute, University of Utah

Intel® PCC for Scientific Rendering is to research and develop visualization techniques for Intel hardware.
Authored by admin Last updated on 03/09/2019 - 12:20