QUARC: An Array Programming Approach to High Performance Computing

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• 关键词：Array ; programming ; Domain ; specific languages
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10136
• 期：1
• 页码：3-17
• 丛书名：Languages and Compilers for Parallel Computing
• ISBN：978-3-319-52709-3
• 卷排序：10136

文摘

We present QUARC, a framework for the optimized compilation of domain-specific extensions to C++. Driven by needs for programmer productivity and portable performance for lattice QCD, the framework focuses on stencil-like computations on arrays with an arbitrary number of dimensions. QUARC uses a template meta-programming front end to define a high-level array language. Unlike approaches that generate scalarized loop nests in the front end, the instantiation of QUARC templates retains high-level abstraction suitable for optimization at the object (array) level. The back end compiler (CLANG/LLVM) is extended to implement array transformations such as transposition, reshaping, and partitioning for parallelism and for memory locality prior to scalarization. We present the design and implementation.