ADC-PIM: Accelerating Convolution on the GPU via In-Memory Approximate Data Comparison-Reference-Cited by-同舟云学术

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ADC-PIM: Accelerating Convolution on the GPU via In-Memory Approximate Data Comparison

Published:2022-06 Issue:2 Volume:12 Page:458-471
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Choi Jungwoo¹^ORCID,Lee Hyuk-Jae¹^ORCID,Rhee Chae Eun²^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Inter-University Semiconductor Research Center (ISRC), Seoul National University, Seoul, South Korea

2. Department of Information and Communication Engineering, Inha University, Incheon, South Korea

Funder

Samsung Electronics Company Ltd

Ministry of Science and ICT (MSIT), South Korea, under the Information Technology Research Center (ITRC) Support Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5503868/9794907/09757235.pdf?arnumber=9757235

Reference40 articles.

1. Newton: A DRAM-maker’s Accelerator-in-Memory (AiM) Architecture for Machine Learning

2. DrAcc

3. Neurocube

4. TOP-PIM

5. GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks

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