Intel Phi Coprocessor?

does R run on the intel phi coprocessor?  the intel literature makes it seem as if it can be treated just like a 50-core 200-thread just-like-i686 processor running linux, albeit with only 8GB of very fast shared RAM.  some posts have suggested it can be 2-3 times as fast as two high-end Intel Xeon 8-core machines.  how do simple library(parallel) R tasks scale on it?

Given that R is not thread-safe and almost everything (apart from parallel BLAS) is single-threaded, it's exactly the opposite of what you need for R. Explicit parallelization in R has overhead and cannot use threads, so you're better off with higher clock speed than large number of cores (unless you use those explicitly for particular tasks but writing your own low-level code). I was not able to test phi, but generally, in our experience scaling to many cores does not work very well, in particular when you have so little RAM (the only way parallel can scale is by running multiple processes which limits the amount of memory sharing that can be done). So, the way I see it you'd have to treat phi like GPU: you'll be able to leverage the speeds that are claimed by very specific code and algorithms written for it (or, e.g. by running BLAS on it if that's what you do often), but it will be much slower than Xenons for regular use of R. Your mileage may vary - this is just my personal experience evaluating high-core machines (250+) and R (the lesson was it's better to get multiple low-core, high-clockspeed, high-RAM machines instead - the opposite of phi), not particularly with phi.

Cheers,
Simon

regards,

/iaw

----
Ivo Welch (ivo.welch at gmail.com)

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