A performance and energy comparison of convolution on GPUs, FPGAs, and multicore processors
| العنوان: | A performance and energy comparison of convolution on GPUs, FPGAs, and multicore processors |
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| المؤلفون: | Greg Brown, John Wernsing, Jeremy Fowers, Greg Stitt |
| المصدر: | ACM Transactions on Architecture and Code Optimization. 9:1-21 |
| بيانات النشر: | Association for Computing Machinery (ACM), 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Multi-core processor, Computer architecture, Hardware and Architecture, Computer science, Design space exploration, Parallelism (grammar), Use case, Parallel computing, Field-programmable gate array, Software, Energy (signal processing), Information Systems, Convolution |
| الوصف: | Recent architectural trends have focused on increased parallelism via multicore processors and increased heterogeneity via accelerator devices (e.g., graphics-processing units, field-programmable gate arrays). Although these architectures have significant performance and energy potential, application designers face many device-specific challenges when choosing an appropriate accelerator or when customizing an algorithm for an accelerator. To help address this problem, in this article we thoroughly evaluate convolution, one of the most common operations in digital-signal processing, on multicores, graphics-processing units, and field-programmable gate arrays. Whereas many previous application studies evaluate a specific usage of an application, this article assists designers with design space exploration for numerous use cases by analyzing effects of different input sizes, different algorithms, and different devices, while also determining Pareto-optimal trade-offs between performance and energy. |
| تدمد: | 1544-3973 1544-3566 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::50aabf947f1d26657bb7facffb0eac2c https://doi.org/10.1145/2400682.2400684 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........50aabf947f1d26657bb7facffb0eac2c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15443973 15443566 |
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