Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
Fine-Tuning Optimization for a Numerical Method for Hyperbolic Equations Applied to a Porous Media Flow Problem with Intel® ToolsThis 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.
This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
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.
The goal of the N-Body problem is to predict the motion of a set of n objects interacting with each other by some force, e.g. the gravitational force. N-Body simulations have been used in particles simulation such as astrophysical and molecular dynamics simulations. There are a number of approaches for solving the N-Body problem, such as the Barnes-Hut algorithm, the Fast Multipole method, the...
Many-Fermion Dynamics---nuclear, or MFDn, is a configuration interaction (CI) code for nuclear structure calculations.
This article demonstrates techniques that software developers can use to identify and fix NUMA-related performance issues in their applications.
One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
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.