Browse "EE-Journal Papers(저널논문)" by Subject training
Showing results 1 to 5 of 5
| An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator with Fine-Grained Mixed Precision of FP8–FP16 Lee,Jinsu; LEE, JUHYOUNG; Han, Donghyeon; Lee, Jinmook; Park, Gwangtae; Yoo, Hoi-Jun, IEEE Solid-State Circuits Letters, v.2, no.11, pp.232 - 235, 2019-11 |
| Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training Han, Wontak; Heo, Jaehoon; Kim, Junsoo; Lim, Sukbin; Kim, Joo-Young, IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, v.12, no.2, pp.354 - 366, 2022-06 |
| Seed growing for interactive image segmentation using SVM classification with geodesic distance Park, Sun Jeong; Lee, Han Sang; Kim, Junmo, ELECTRONICS LETTERS, v.53, no.1, pp.22 - 23, 2017-01 |
| T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training Heo, Jaehoon; Kim, Junsoo; Lim, Sukbin; Han, Wontak; Kim, Joo-Young, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.58, no.3, pp.600 - 613, 2023-03 |
| Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training Lee, Yunjae; Kwon, Youngeun; Rhu, Minsoo, IEEE COMPUTER ARCHITECTURE LETTERS, v.20, no.2, pp.118 - 121, 2021-07 |
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