FlexLearn-Reference-Cited by-同舟云学术

FlexLearn

Published:2019-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
language:
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Author:

Baek Eunjin¹,Lee Hunjun¹,Kim Youngsok²,Kim Jangwoo¹

Affiliation:

1. Department of Electrical and Computer Engineering, Seoul National University

2. Department of Computer Science, Yonsei University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352460.3358268

Reference103 articles.

1. [n. d.]. Intel® Xeon® Processor E5-2650 v4. https://ark.intel.com/products/91767/Intel-Xeon-Processor-E5-2650-v4-30M-Cache-2-20-GHz-. [n. d.]. Intel® Xeon® Processor E5-2650 v4. https://ark.intel.com/products/91767/Intel-Xeon-Processor-E5-2650-v4-30M-Cache-2-20-GHz-.

2. [n. d.]. NVIDIA TITAN X Graphics Card for VR Gaming | NVIDIA GeForce. https://www.nvidia.com/en-us/geforce/products/10series/titan-x-pascal/. [n. d.]. NVIDIA TITAN X Graphics Card for VR Gaming | NVIDIA GeForce. https://www.nvidia.com/en-us/geforce/products/10series/titan-x-pascal/.

3. [n. d.]. Profiler User's Guide. https://docs.nvidia.com/cuda/profiler-users-guide/index.html. [n. d.]. Profiler User's Guide. https://docs.nvidia.com/cuda/profiler-users-guide/index.html.

4. L. F. Abbott J. A. Varela Kamal Sen and S. B. Nelson. 1997. Synaptic Depression and Cortical Gain Control. Science 275 (1997). L. F. Abbott J. A. Varela Kamal Sen and S. B. Nelson. 1997. Synaptic Depression and Cortical Gain Control. Science 275 (1997).

5. TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

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