VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures
Author:
Affiliation:
1. Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,South Korea
2. College of Information and Communication Engineering, Sungkyunkwan University,Suwon,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9774496/9774497/09774509.pdf?arnumber=9774509
Reference9 articles.
1. Efficient Mobile Implementation of A CNN-based Object Recognition System
2. Switched by input
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4. Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method
5. A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array
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3. Tetris-SDK: Efficient Convolution Layer Mapping with Adaptive Windows for Fast In Memory Computing;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
4. ConvMapSim: Modeling and Simulating Convolutional Weight Mapping for PIM Arrays;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22
5. Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
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