کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6883435 | 1444172 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Hotspot-aware task-resource co-allocation for heterogeneous many-core networks-on-chip
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
To fully exploit the massive parallelism of many-core on a chip, this work tackles the problem of mapping large-scale applications onto heterogeneous networks-on-chip (NoCs) while minimizing hotspots. A task-resource co-optimization framework is proposed which configures the on-chip communication infrastructure and maps the applications simultaneously and coherently, aiming to minimize the peak energy under the constraints of computation power, communication capacity, and total cost budget of on-chip resources. The problem is first formulated into a linear programming model to search for optimal solution. A heuristic is further developed for fast design space exploration at design-time and run-time in large-scale NoCs. Extensive simulations are carried out under real-world benchmarks and randomly generated task graphs to demonstrate the effectiveness and efficiency of the proposed schemes. Real system simulations show the significant improvement (30-200%) in NoCs latency and throughput compared to the state-of-the-art minimum-path approach because of the diminishing hotspots and balanced load distribution.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 68, May 2018, Pages 581-602
Journal: Computers & Electrical Engineering - Volume 68, May 2018, Pages 581-602
نویسندگان
Md Farhadur Reza, Dan Zhao, Hongyi Wu, Magdy Bayoumi,