An article addressing thread and task parallelism. This article can be used to optimize framework methodology. Written by Andrew Binstock--Principal Analyst at Pacific Data Works LLC and lead author of "Practical Algorithms for Programmers."
In recent years, Linux* has bolster its presence on the server, due to improved kernel support for threads. Along the way, Linux abandoned its original threading API (called Linux threads) and adopted Pthreads as its native threading interface, joining most of the UNIX variants available today. Linux developers-just like programmers working on UNIX and Windows*-can avail themselves of a second...
This article makes available third-party libraries, executables and sources that were used in the creation of Intel® Software Development Products or are required for operation of those. Intel provides this software pursuant to their applicable licenses. [Intel® Graphics Technology, Intel® Composer XE, Intel® C++ Composer XE, Intel® Application Debugger, Intel® Many Integrated Core Architecture...
Intel® MPI Benchmarks
Download this guide for developing multithreaded applications, which also includes general topics such as application threading and synchronization.
Recommended Settings for Calling Intel® Math Kernel Library Routines from Multi-Threaded ApplicationsRecommended settings for calling Intel MKL routines from multi-threaded1 applications
This article describes a method to compile and run a distributed memory coarray program using Intel® Parallel Studio XE Cluster Edition for Linux . An example using Linux* is presented.
Scaling and Self-repair of Linux Based Services Using a Novel Distributed Computing Model Exploiting Parallelism
Giovanni MoranaDIEEIUniversity of CataniaCatania, Italy
The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.