On the Performance Portability of OpenACC, OpenMP, Kokkos and RAJA

Marowka, Ami

doi:10.1145/3492805.3492806

Cited by 12 publications

(6 citation statements)

References 29 publications

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“…A comprehensive research study based on dozens of practical studies showed that the ¯ PP metric has the key properties of a good performance portability metric [8], [12]. These studies show that the ¯ PP metric is objective, comparable, consistent, lossless, easy to use, intuitive, and familiar to users.…”

Section: A Performance Portabilitymentioning

confidence: 94%

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Toward a Better Performance Portability Metric

Marowka¹

2021

2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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Section: A Performance Portabilitymentioning

confidence: 94%

“…A restricted definition of application efficiency was first introduced in [12] and was used to calculate the performance portability of portable programming models. The definition was formulated after a survey based on hundreds of case studies which showed that most researchers use this measure in practice.…”

Section: Application Efficiency Approachmentioning

confidence: 99%

Toward a Better Performance Portability Metric

Marowka¹

2021

2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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“…The dilemma of whether to remove an outlier sometimes does not exist, as is the case with our research presented in References 20 and 21. The dataset we are analyzing is based on observations collected from studies published in the scientific literature.…”

Section: Outliersmentioning

confidence: 99%

A comparison of two performance portability metrics

Marowka¹

2023

Concurrency and Computation

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SummaryThe rise in the demand for new performance portability frameworks for heterogeneous computing systems has brought with it a number of proposals of workable metrics for evaluating the performance portability of applications. The aim of this article is twofold. First, we analyze the underlying principles of the criteria and definition of the revised Ⴔ metric and show that these principles are partially correct and suffer from a lack of a solid and clear performance portability model. We prove mathematically and demonstrate it practically that the principles are only correct for the architectural efficiency approach based on throughputs but are incorrect for the popular application efficiency approach based on run‐times. Second, we are examining whether the Ⴔ and metrics meet the requirements of consistency, proportionality, and lossless information. We use examples from the scientific literature to show the reader that the Ⴔ metric loses information while the metric and other metrics do not lose information.

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“…Navier-Stokes flow solvers are frequently used for computational fluid dynamics problems. A performance portability study [23] evaluated OpenMP, OpenACC, Kokkos, and RAJA directive-based models with a newly developed metric based on the data reported in 324 case studies from the open literature. It reports a performance portability of over 80% cases.…”

Section: Related Workmentioning

confidence: 99%

An Evaluation of Directive-Based Parallelization on the GPU Using a Parboil Benchmark

Đukić,

Mišić

2023

Electronics

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Heterogeneous architectures consisting of both central processing units and graphics processing units are common in contemporary computer systems. For that reason, several programming models have been developed to exploit available parallelism, such as low-level CUDA and OpenCL, and directive-based OpenMP and OpenACC. In this paper we explore and evaluate the applicability of OpenACC, which is a directive-based programming model for GPUs. We focus both on the performance and programming effort needed to parallelize the existing sequential algorithms for GPU execution. The evaluation is based on the benchmark suite Parboil, which consists of 11 different mini-applications from different scientific domains, both compute- and memory-bound. The results show that mini-apps parallelized with OpenACC can achieve significant speedups over sequential implementations and in some cases, even outperform CUDA implementations. Furthermore, there is less of a programming effort compared to low-level models, such as CUDA and OpenCL, because a majority of the work is left to the compiler and overall, the code needs less restructuring.

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On the Performance Portability of OpenACC, OpenMP, Kokkos and RAJA

Cited by 12 publications

References 29 publications

Toward a Better Performance Portability Metric

Toward a Better Performance Portability Metric

A comparison of two performance portability metrics

An Evaluation of Directive-Based Parallelization on the GPU Using a Parboil Benchmark

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