Intel(R) Cluster Studio XE 2013 is a powerful tool suite - which helps you to develop applications, with low latency Intel MPI library, high performance C++/FORTRAN compiler, native profiling component named VTune™ Amplifier XE 2013, node level analysis component named Intel® Trace Collector/Analyzer, Threading and memory correctness components named Inspector XE 2013.
Purposes of this article are:
Traditional InfiniBand* support involves MPI message transfer over the Reliable Connection (RC) protocol. While RC is long-standing and rich in functionality, it does have certain drawbacks: since it requires that each pair of processes setup a one-to-one connection at the start of the execution, memory consumption could (at the worst case) grow linearly as more MPI ranks are added and the number of pair connections grows.
Reference Number : DPD200335246
Product : Intel® Math Kernel Library (Intel® MKL)
Version : Intel MKL 11.0 Update 3 and Intel MKL 11.1 beta for OS X*
Operating Systems affected: Windows* OS, Linux * OS, OS X*
Problem Description :
When running an MPI program, process placement is critical to maximum performance. Many applications can be sufficiently controlled with a simple process placement scheme, while some will require a more complex approach. The Intel® MPI Library offers multiple options for controlling process placement within the Hydra process manager.
This article explains how to build a simple application for the Windows Store* using Intel Threading Building Blocks (Intel® TBB).
Intel(R) Math Kernel Library (Intel(R) MKL) has full support for the Intel(R) Xeon Phi(TM) Co-processor and supports the following compute models, one of which has the capability to use both multicore host and many-core co-processors at the same time. Here is a short summary of the execution models. In this article, we will describe data sizes and parallel programming / offload techniques best benefit from a particular MKL execution model:
