Join us for a look at all the new features arriving in the 2015 Beta release of VTune Amplifier XE.
The Intel® Visual Fortran Composer XE SP1 release includes support for Intel® Xeon Phi™ coprocessors on Windows*. This webinar introduces the development environment for developing Fortran applications for the Intel® Xeon Phi™ coprocessor for Windows*.
This webinar will give an overview of the VTune™ Amplifier XE features including: first use tips, performance collection modes (Hotspots, General Exploration, Locks-And-Waits), and tuning occasional random slowdowns.
Introduction into implementation of a new MPI-3 standard by the latest Intel MPI library 5.0. MPI 3.0 standard introduced many new features such as new one-sided (Remote Memory Access (RMA) communication semantics, non-blocking and neighborhood collectives, improvements in Fortran bindings and fault tolerance.
Sparse matrix algorithms are encountered in a broad range of important scientific computing applications. Intel MKL offers a powerful set of functions that can be used to build a complete solution to many sparse linear systems.
Thanks to the multi-core era, it has become imperative for software developers to exploit parallelism inherent in their applications. Intel® Advisor XE helps make incorporating threading into applications easier by allowing developers to model parallelism.
Join parallelism expert and evangelist James Reinders and find out how to best prepare your application for Knights Landing.
Build fast code faster with the compilers and libraries in the new Intel® Compiler Version 15.0.
Intel® Parallel Studio XE provides the compilers and libraries needed to build fast code. The Professional Edition adds analysis and we’ll explore new features for prototyping thread designs, eliminating threading/memory errors, and tuning applications.
Intel® Math Kernel Library (Intel® MKL) is a computational math library aimed at unleashing performance on Intel® architecture. Designed for scientific, engineering, and financial applications, it efficiently handles both very small and very large computations.