کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6902990 | 1446733 | 2018 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A survey on techniques for cooperative CPU-GPU computing
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Graphical Processing Unit provides massive parallelism due to the presence of hundreds of cores. Usage of GPUs for general purpose computation (GPGPU) has resulted in execution speedup and energy efficiency. In addition, the modern CPUs also possess multiple cores, with enormous computational power. In general, the current programming frameworks for CPU-GPU heterogeneous computing system do not facilitate the efficient utilization of computational resources so as to further improve the performance and reduce the energy consumption. Several researches have been carried out to improve the resource utilization and reduce the energy consumption of heterogeneous systems by cooperatively performing the computation on both multicore CPUs and GPUs. In this survey paper we review the various techniques available for CPU-GPU cooperative computing.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sustainable Computing: Informatics and Systems - Volume 19, September 2018, Pages 72-85
Journal: Sustainable Computing: Informatics and Systems - Volume 19, September 2018, Pages 72-85
نویسندگان
Raju K, Niranjan N. Chiplunkar,