Showing results 1 to 5 of 5
A Framework for Accelerating Transformer-based Language Model on ReRAM-based Architecture Kang, Myeonggu; Shin, Hyein; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, v.41, no.9, pp.3026 - 3039, 2022-09 |
An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices Choi, Seungkyu; Sim, Jaehyeong; Kang, Myeonggu; Choi, Yeongjae; Kim, Hyeonuk; Kim, Lee-Sup, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.55, no.10, pp.2691 - 2702, 2020-10 |
Fault-Free: A Framework for Analysis and Mitigation of Stuck-at-Fault on Realistic ReRAM-Based DNN Accelerators Shin, Hyein; Kang, Myeonggu; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTERS, v.72, no.7, pp.2011 - 2024, 2023-07 |
MGen: A Framework for Energy-Efficient In-ReRAM Acceleration of Multi-Task BERT Kang, Myeonggu; Shin, Hyein; Kim, Joon Gyum; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTERS, v.72, no.11, pp.3140 - 3152, 2023-11 |
S-FLASH: A NAND Flash-based Deep Neural Network Accelerator Exploiting Bit-level Sparsity Kang, Myeonggu; Kim, Hyeonuk; Shin, Hyein; Sim, Jaehyeong; Kim, Kyeonghan; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTERS, v.71, no.6, pp.1291 - 1304, 2022-06 |
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