Modern parallel microprocessors deliver high performance on applications that expose substantial fine-grained data parallelism. Although data parallelism is ...
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This thesis describes the implementation of Obsidian, an embed- ded language for data-parallel programming. The programming style.
data parallel languages, programmers express computation by using explicitly parallel oper- ators that apply a computation element-wise across large sequences.
In this paper, we discuss the language, compiler, and runtime features that enable Copperhead to efficiently execute data parallel code. We define the ...
Dec 21, 2019 · It covers a lot of subjects but there is some great chapters on multicore programming and cache memory interactions and threading which is the ...
The following is a list of reasonably mature or actively developed open source embedded scripting languages to use in your application.
Languages specifically designed for data parallelism, such as NESL, aim to improve programmer productivity by allowing the programmer to express computation ...
Two embedded languages are presented, Obsidian for general purpose GPU programming and EmbArBB for data-parallel programming across platforms. CPUs and GPUs get ...
Apr 18, 2016 · Futhark is a data-parallel pure functional programming language compiling to optimised GPU code that we've been working on, and we're interested ...
An embedded language for dataparallel programming. Lava programming style ... Data Parallel Haskell. Nested dataparallelism in Haskell. Page 41. Future ...
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