A new feature is available for the Intel® MPI Library when running on a Xeon Phi™ coprocessor. You can now choose two DAPL providers to use for a single job.
If you have one DAPL provider that is better for small messages and a different one is better for large messages, you can instruct Intel MPI to use the appropriate provider based on message size.
Intel recently unveiled the new Intel® Xeon Phi™ product – a coprocessor based on the Intel® Many Integrated Core architecture. Intel® Math Kernel Library (Intel® MKL) 11.0 introduces high-performance and comprehensive math functionality support for the Intel® Xeon Phi™ coprocessor. You can download the audio recording of the webinar and the presentation slides from the links below.
Shared libraries are not found when running a rank on a Xeon Phi™ coprocessor.
error while loading shared libraries: lib*.so: cannot open shared object file: No such file or directory
When launching a job running in either native or symmetric mode, ranks launched on Xeon Phi" coprocessors under the LSF* job scheduler will not correctly set LD_LIBRARY_PATH. Instead, the default LD_LIBRARY_PATH for the coprocessor will be used. If shared libraries are located in other locations, they will not be found.
Using the Intel® MPI Library along with the offload capabilities of the Intel® Xeon Phi™ coprocessor allows a user to access the capabilities of the coprocessor without the need for direct filesystem access on the coprocessor. This can lead to administrative benefits by not requiring additional security on the coprocessor's filesystem.
Calling MPI functions within an offload region is not supported.
The purpose of this blog (from: Phil Thierry and Leo Borges - part of the Intel SSG Energy Engineering Team and covering Oil and Gas technical activities ) is to start a discussion about implementation for 3D seismic wave propagation and. more specifically, for the Reverse Time Migration (RTM) algorithm as a whole on one, two or several Intel® Xeon Phi™ coprocessors in a full hybrid mode, i.e. including full utilization of the CPU cores.
A number of tool vendors have announced they will be providing versions of their software tailored to supporting Intel(R) Many Integrated Core Architecture, starting with the Intel(R) Xeon Phi(tm) coprocessor. Please contact the vendors directly for details about versions supported on Intel(R) Xeon Phi(tm) coprocessor.
This is a "living" document that will be updated as more software becomes available
Intel® Math Kernel Library (MKL) includes a unique new Automatic Offload (AO) feature that enables computationally intensive Intel® MKL functions called in user code to benefit from attached Intel® Xeon Phi™ coprocessors automatically and transparently. This special feature allows users to leverage the additional computational resources provided by the coprocessor without changes to Intel MKL calls in their codes or modifications to the way they compile and link.
Some applications are well suited for running directly on Intel® Xeon Phi™ coprocessors without offload from a host system. This is also known as running in “native mode.” The purpose of this article is to describe how to build a native application that runs directly on an Intel Xeon Phi coprocessor and its embedded Linux* operating system. A summary of the steps is below.
