The Rodinia Benchmark Suite in SYCL

Jin, Zheming

doi:10.2172/1631460

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…When it comes to benchmarks, there are several suites available for SYCL. The Rodinia 4 benchmarks are implemented in multiple languages, including SYCL, and encompass a wide range of field benchmarks, such as medical imaging or image compression [15,27].…”

Section: Sycl Benchmark Suitsmentioning

confidence: 99%

SYCL in the Edge: Performance Evaluation for Heterogeneous Acceleration

Faqir-Rhazoui,

García

2023

Preprint

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Edge computing is essential to handle increasing data volumes and processing capacities. It provides real-time, secure data processing near data sources, like smart devices, alleviating cloud computing energy use and saving network band-width. Specialized accelerators, like GPUs and FPGAs, are vital for low-latency edge computing but the requirements to customized code for different hardware and vendors supposes important compatibility issues. This paper evaluates the potential of SYCL in addressing code portability issues encountered in edge computing. We employed the Polybench suite to compare various SYCL implementations, specifically DPC++ and AdaptiveCpp, with the native solution, CUDA. The disparity between SYCL implementations was negligible, at just 5%. Furthermore, we evaluated SYCL in the context of specific edge computing applications such as video processing using three different optical flow algorithms. The results exposed a potential performance gap of 19% between CUDA and SYCL. This performance differential is the price one may need to pay when achieving the ability to successfully run the same code on two distinct edge boards with four different architectures, including x86/64 CPU, ARM CPU, NVIDIA GPU, and Intel GPU. These findings underscore SYCL’s capacity to increase productivity in term of development costs and facilitate the IoT deployment without being locked into a particular platform or manufacturer.

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Section: Sycl Benchmark Suitsmentioning

confidence: 99%

SYCL in the Edge: Performance Evaluation for Heterogeneous Acceleration

Faqir-Rhazoui,

García

2023

Preprint

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“…A SYCL-based version of the well-known Rodinia benchmark suite was developed in [32], using Intel oneAPI toolkit, to track the development of the SYCL compilers and provide programs for the study of heterogeneous systems. Christgau and Steinke [33] used both the compatibility tool dpct of oneAPI, as well as SYCL extensions for the CUDA base code of the easyWave simulator.…”

Section: Related Workmentioning

confidence: 99%

Straightforward Heterogeneous Computing with the oneAPI Coexecutor Runtime

Nozal

Bosque

2021

Electronics

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Heterogeneous systems are the core architecture of most computing systems, from high-performance computing nodes to embedded devices, due to their excellent performance and energy efficiency. Efficiently programming these systems has become a major challenge due to the complexity of their architectures and the efforts required to provide them with co-execution capabilities that can fully exploit the applications. There are many proposals to simplify the programming and management of acceleration devices and multi-core CPUs. However, in many cases, portability and ease of use compromise the efficiency of different devices—even more so when co-executing. Intel oneAPI, a new and powerful standards-based unified programming model, built on top of SYCL, addresses these issues. In this paper, oneAPI is provided with co-execution strategies to run the same kernel between different devices, enabling the exploitation of static and dynamic policies. This work evaluates the performance and energy efficiency for a well-known set of regular and irregular HPC benchmarks, using two heterogeneous systems composed of an integrated GPU and CPU. Static and dynamic load balancers are integrated and evaluated, highlighting single and co-execution strategies and the most significant key points of this promising technology. Experimental results show that co-execution is worthwhile when using dynamic algorithms and improves the efficiency even further when using unified shared memory.

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“…Although oneAPI release is very recent, it has quickly attracted the attention of industry and the scientific community working with heterogeneous systems. A SYCL-based version of the well-known Rodinia benchmark suite has been developed in [12], using Intel oneAPI toolkit. Christgau and Steinke [5] use both the compatibility tool dpct of oneAPI, as well as SYCL extensions for the CUDA base code of the easyWave simulator.…”

Section: Introductionmentioning

confidence: 99%

Exploiting co-execution with oneAPI: heterogeneity from a modern perspective

Nozal,

Bosque

2021

Preprint

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Programming efficiently heterogeneous systems is a major challenge, due to the complexity of their architectures. Intel oneAPI, a new and powerful standards-based unified programming model, built on top of SYCL, addresses these issues. In this paper, oneAPI is provided with co-execution strategies to run the same kernel between different devices, enabling the exploitation of static and dynamic policies. On top of that, static and dynamic load-balancing algorithms are integrated and analyzed. This work evaluates the performance and energy efficiency for a well-known set of regular and irregular HPC benchmarks, using an integrated GPU and CPU. Experimental results show that co-execution is worthwhile when using dynamic algorithms, improving efficiency even more when using unified shared memory.

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The Rodinia Benchmark Suite in SYCL

Cited by 4 publications

References 20 publications

SYCL in the Edge: Performance Evaluation for Heterogeneous Acceleration

SYCL in the Edge: Performance Evaluation for Heterogeneous Acceleration

Straightforward Heterogeneous Computing with the oneAPI Coexecutor Runtime

Exploiting co-execution with oneAPI: heterogeneity from a modern perspective

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