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Achieving Lossless Accuracy with Lossy Programming for Efficient Neural-Network Training on NVM-Based Systems.

, , , , , and . ACM Trans. Embed. Comput. Syst., 18 (5s): 68:1-68:22 (2019)

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Due-date performance improvement using TOC's aggregated time buffer method at a wafer fabrication factory., , and . Expert Syst. Appl., 36 (2): 1783-1792 (2009)Achieving Lossless Accuracy with Lossy Programming for Efficient Neural-Network Training on NVM-Based Systems., , , , , and . ACM Trans. Embed. Comput. Syst., 18 (5s): 68:1-68:22 (2019)A Light-Weighted Software-Controlled Cache for PCM-based Main Memory Systems., , , and . ICCAD, page 22-29. IEEE, (2015)How to improve the space utilization of dedup-based PCM storage devices?, , , , and . CODES+ISSS, page 11-20. IEEE, (2015)Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks., , , , , , and . ISCA, page 236-249. ACM, (2019)An Evaluation Model Based on Product Characteristics for End-Delivery Choice in China e-Commerce Services., , , and . ICIT, page 219-223. ACM, (2018)The Influence Analysis of Opening Projects on Project Performance., , and . SIMULTECH, page 401-404. SciTePress, (2011)DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators., , , , , , , , , and 1 other author(s). ACM Trans. Embed. Comput. Syst., 21 (3): 24:1-24:29 (2022)DL-RSIM: a simulation framework to enable reliable ReRAM-based accelerators for deep learning., , , , , , , , , and . ICCAD, page 31. ACM, (2018)A disturbance-aware sub-block design to improve reliability of 3D MLC flash memory., , , , and . CODES+ISSS, page 20:1-20:10. ACM, (2016)