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Publication search results
found 14 matches
- 2023
- Jinyu Bai, Sifan Sun, Wang Kang:
Exploring Bit-Level Sparsity for Partial Sum Quantization in Computing-In-Memory Accelerator. NVMSA 2023: 32-37 - Shih-Chun Chou, Yi-Shen Chen, Ping-Xiang Chen, Yuan-Hao Chang, Ming-Chang Yang, Tei-Wei Kuo, Yu-Fang Chen, Yu-Ming Chang:
FSD: File-related Secure Deletion to Prolong the Lifetime of Solid-State Drives. NVMSA 2023: 19-24 - Yejin Han, Myunghoon Oh, Jaedong Lee, Seehwan Yoo, Bryan S. Kim, Jongmoo Choi:
Achieving Performance Isolation in Docker Environments with ZNS SSDs. NVMSA 2023: 25-31 - Nils Hölscher, Minh Duy Truong, Christian Hakert, Tristan Taylan Seidl, Kuan-Hsun Chen, Jian-Jia Chen:
Rapid NVM Simulation and Analysis on Single Bit Granularity Featuring Gem5 and NVMain. NVMSA 2023: 50-55 - Chaeyoung Hwang, Yongjin Kim, Junhan Lee, Youjip Won:
Addressing the Space Overhead of Vector Quotient Filter. NVMSA 2023: 66-67 - Linjun Jiang, Sifan Sun, Jinming Ge, He Zhang, Wang Kang:
An In-Memory-Computing STT-MRAM Macro with Analog ReLU and Pooling Layers for Ultra-High Efficient Neural Network. NVMSA 2023: 44-49 - Chihyun Lee, Sangeun Chae, Sungho Moon, Kyeungpyo Kim, Sungsoon Park, Beomseok Nam:
Improving Compaction in LSM Trees through ZNS Simple Copy: (Extended Abstract). NVMSA 2023: 64-65 - Ruiqing Lei, Xianzhang Chen, Duo Liu, Chunlin Song, Yujuan Tan, Ao Ren:
Optimizing the Incremental Update Mechanism by Inlaying File Indexes on Flash Storage. NVMSA 2023: 56-61 - Ella Paasio, Mika Prunnila, Sayani Majumdar:
Modelling Ferroelectric Hysteresis of HZO Capacitor with Jiles-Atherton Model for Non-Volatile Memory Applications. NVMSA 2023: 1-2 - Tianyu Ren, Qiao Li, Min Ye, Chun Jason Xue:
Read Disturb and Reliability: The Complete Story for 3D CT NAND Flash. NVMSA 2023: 1-6 - Ikjoon Son, Jin-Soo Kim:
Efficient Read Disturb Management Schemes in Resource-Constrained Flash Memory Controller. NVMSA 2023: 13-18 - Sifan Sun, Jinming Ge, Jinyu Bai, Wang Kang:
ES-MPQ: Evolutionary Search Enabled Mixed Precision Quantization Framework for Computing-in-Memory. NVMSA 2023: 38-43 - Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo:
Retention Leveling: Leverage Retention Refreshing and Wear Leveling Techniques to Enhance Flash Reliability with the Awareness of Temperature. NVMSA 2023: 1-6 - 12th Non-Volatile Memory Systems and Applications Symposium, NVMSA 2023, Niigata, Japan, August 30 - Sept. 1, 2023. IEEE 2023, ISBN 979-8-3503-4496-7 [contents]
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