Before we start, I will use the next two blogs to clear up some terminology. If you are familiar with these concepts, I give you permission to jump to the next section. I suggest any software readers still check out the other blog about threads. There is a lot of confusion, even among us software professionals.
While talking to a very intelligent but non-engineer colleague, I found myself needing to explain the threading and other components of the Intel® Xeon Phi™ ⅹ100 and ⅹ200 architectures. The first topic that came up was hyper-threading, and more specifically, the coprocessor’s version of hyper-threading. Wracking my brain, I finally hit upon an analogy that seemed to suit: the common kitchen.
By Taylor Kidd, Intel Corporation
This article is essentially a collection of blogs I wrote on the same subject. The differences are simply a degree of formalism.
TABLE OF CONTENT:
The PDF document attached to this article contains a growing list of available, downloadable or work-in-progress code that can be run, or actively being optimized to run on Intel® Xeon Phi™ Coprocessors.
(Вы можете скачать PDF-версию этой статьи во вложении.)
In the High Performance Computing (HPC) area, parallel computing techniques such as MPI, OpenMP*, one-sided communications, shmem, and Fortran coarray are widely utilized. This blog is part of a series that will introduce the use of these techniques, especially how to use them on the Intel® Xeon Phi™ coprocessor. This first blog discusses the main usage of the hybrid MPI/OpenMP model.
I don’t know if any of you have noticed but Intel® has a tendency to emphasize its own homegrown tools. This isn’t bad as Intel has some of the best. Still, if someone has a favorite hammer, there’s a tendency to use that hammer for just about everything.
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