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pro vyhledávání: '"Farshchi, Farzad"'
In this paper a low power multiplier is proposed. The proposed multiplier utilizes Broken-Array Multiplier approximation method on the conventional modified Booth multiplier. This method reduces the total power consumption of multiplier up to 58% at
Externí odkaz:
http://arxiv.org/abs/2003.06727
NVDLA is an open-source deep neural network (DNN) accelerator which has received a lot of attention by the community since its introduction by Nvidia. It is a full-featured hardware IP and can serve as a good reference for conducting research and dev
Externí odkaz:
http://arxiv.org/abs/1903.06495
Poor time predictability of multicore processors has been a long-standing challenge in the real-time systems community. In this paper, we make a case that a fundamental problem that prevents efficient and predictable real-time computing on multicore
Externí odkaz:
http://arxiv.org/abs/1707.05260
Publikováno v:
DAC: Annual ACM/IEEE Design Automation Conference; 2019, Issue 56, p1039-1044, 6p
Akademický článek
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Publikováno v:
2016 IEEE Real-Time & Embedded Technology & Applications Symposium (RTAS); 2016, p1-12, 12p
Publikováno v:
17th CSI International Symposium on Computer Architecture & Digital Systems (CADS 2013); 2013, p25-30, 6p