This IDC white paper, sponsored by Intel, examines the growth of mission-critical workloads being hosted on x86 servers based on the Intel Xeon E7 series of processors running enterprise Linux operating systems. It looks at the way in which x86 servers are taking on more demanding workloads, including databases and enterprise applications. It also discusses IDC Workloads data that shows the growth of mission-critical business processing workloads on enterprise Linux platforms.
1. Check prerequisites
- Each host and each Intel® Xeon Phi™ coprocessor should have a unique IP address across a cluster;
- ssh access between host(s) and Intel® Xeon Phi™ coprocessor(s) should be password-less;
- Update the Intel® Manycore Platform Software Stack (Intel® MPSS) to current version;
One of the pitfalls of parallel programming is the need to consider whether your code modifies a memory location in two parallel strands. Doing so is called a race because whether you get the correct answer depends on the timing of the executed instructions. Parallel reads are OK, since the value doesn’t change. But two writes, or a read and a write in parallel are errors. Consider the following code which increments a global location:
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 :
Intel® Advisor XE 2013
Intel® Advisor XE 2013 guides developers to add parallelism to their existing C/C++, Fortran, or C# programs.
New in Update 3!
· Improved assistance window
IDF2013英特尔信息技术峰会 HTML5交流体验专区 讲座视频
Intel® VTune™ Amplifier XE 2013 Update 6 release is now available for download at Intel Registration Center
New for Update 6!
This tutorial transcode sample uses the same approach as the previous OpenCL* frame processing samples. But in this case the integration with Intel® Media SDK utilizes the SDK user plug-in concept to ensure asynchronous behavior for optimal performance.
For optimal performance, stream transcode and frame processing are both executed using Intel® HD Graphics, featuring efficient surface sharing via the OpenCL 1.2 Khronos DX9 Media Surface Sharing extensions.
This tutorial sample is similar to the previous “simple_7_decode_d3d - ocl_postproc” but instead performs OpenCL* frame processing before feeding frames to the encoder.
For optimal performance, stream encode and frame processing are both executed using Intel® HD Graphics, featuring efficient surface sharing via the OpenCL 1.2 Khronos DX9 Media Surface Sharing extensions.