PACXXv2 + RV

Haidl, Michael; Moll, Simon; Klein, Lars; Sun, Hongwei; Hack, Sebastian; Gorlatch, Sergei

doi:10.1145/3148173.3148185

Cited by 18 publications

(1 citation statement)

References 12 publications

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“…These pragmas allow the programmer to mark a code region for execution on the GPU. SYCL and PACXX [Haidl and Gorlatch 2014;Haidl et al 2017] on the other, are shallowly embedded DSLs for C ++ . Similar to Impala's built-in higher-order functions, SYCL and PACXX provide higher-order functions whose lambda expression arguments are offloaded onto an accelerator.…”

Section: Accelerator Supportmentioning

confidence: 99%

AnyDSL: a partial evaluation framework for programming high-performance libraries

Leißa

Boesche

Hack

et al. 2018

Proc. ACM Program. Lang.

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This paper advocates programming high-performance code using partial evaluation. We present a clean-slate programming system with a simple, annotation-based, online partial evaluator that operates on a CPS-style intermediate representation. Our system exposes code generation for accelerators (vectorization/parallelization for CPUs and GPUs) via compiler-known higher-order functions that can be subjected to partial evaluation. This way, generic implementations can be instantiated with target-specific code at compile time. In our experimental evaluation we present three extensive case studies from image processing, ray tracing, and genome sequence alignment. We demonstrate that using partial evaluation, we obtain high-performance implementations for CPUs and GPUs from one language and one code base in a generic way. The performance of our codes is mostly within 10%, often closer to the performance of multi man-year, industry-grade, manuallyoptimized expert codes that are considered to be among the top contenders in their fields. CCS Concepts: • Software and its engineering → Compilers; Parallel programming languages; • Hardware → Emerging languages and compilers; • Computing methodologies → Image processing; Ray tracing; • Applied computing → Bioinformatics;

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Section: Accelerator Supportmentioning

confidence: 99%