OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Authored by Last updated on 07/31/2019 - 14:30

OpenMP* 5.0 support in Intel® Compiler 18.0

OpenMP 5.0 is the next version of the OpenMP specification which should be officially released in 2018.

Authored by Igor V. (Intel) Last updated on 03/09/2019 - 12:30

Scale-Up Implementation of a Transportation Network Using Ant Colony Optimization (ACO)

In this article an OpenMP* based implementation of the Ant Colony Optimization algorithm was analyzed for bottlenecks with Intel® VTune™ Amplifier XE 2016 together with improvements using hybrid MPI-OpenMP and Intel® Threading Building Blocks were introduced to achieve efficient scaling across a four-socket Intel® Xeon® processor E7-8890 v4 processor-based system.
Authored by Sunny G. (Intel) Last updated on 07/05/2019 - 19:10

Fine-Tuning Optimization for a Numerical Method for Hyperbolic Equations Applied to a Porous Media Flow Problem with Intel® Tools

This paper presents an analysis for potential optimization for a Godunov-type semi-discrete central scheme, for a particular hyperbolic problem implicated in porous media flow, using OpenMP* and Intel® Advanced Vector Extensions 2.
Authored by Last updated on 07/03/2019 - 20:00

Optimization of ProFrager, a Protein Structure and Function Prediction Tool

Hybrid parallel computing architectures have the potential to speed up computationally intensive applications, but the efficient utilization of heterogeneous resources is challenging. This case study aims to describe an optimization technique applied to "ProFrager", a protein structure and function prediction tool developed at “Laboratório Nacional de Computação Científica - LNCC” (National...
Authored by silvio stanzani Last updated on 06/07/2017 - 12:05

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

Building and Probing Prolog* with Intel® Architecture

This article explores what happens when Intel solutions support functional and logic programming languages that are regularly used for Artificial Intelligence (AI) and proposes a Prolog interpreter recompilation using Intel® C++ Compiler and libraries in order to evaluate their contribution to logic based AI.
Authored by Flavio Luis de Mello Last updated on 01/24/2018 - 15:35

Recipe: Building and Running YASK (Yet Another Stencil Kernel) on Intel® Processors

Yet Another Stencil Kernel (YASK), is a framework to facilitate design exploration and tuning of HPC kernels including vector folding, cache blocking, memory layout, loop construction, temporal wave-front blocking, and others.YASK contains a specialized source-to-source translator to convert scalar C++ stencil code to SIMD-optimized code.
Authored by Chuck Yount (Intel) Last updated on 03/21/2019 - 12:00

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

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