September 2016
Intermediate to advanced
408 pages
9h 18m
English
Content preview from Haskell High Performance ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Running with the CUDA backend
To compile using the CUDA backend, we should install the accelerate-cuda package from
Hackage. Also required is the CUDA platform. Refer to the accelerate-cuda package documentation and CUDA platform documentation for further information:
cabal install accelerate-cuda -fdebug
The Haskell dependencies require some additional tools in scope, including alex, happy, and c2hs. Install those first if necessary. The debug flag gives our Accelerate CUDA programs some additional tools. There's no extra runtime cost versus no debug flag. The additional flags could interfere with the user program, though.
In principle, the only necessary code change for using the CUDA backend instead of the interpreter is to import the run
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.