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Yongbin Gu
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2020 – today
- 2022
- [c5]Pengcheng Li, Yixin Guo, Yongbin Gu:
Predicting Reuse Interval for Optimized Web Caching: An LSTM-Based Machine Learning Approach. SC 2022: 86:1-86:15 - 2020
- [i2]Yongbin Gu, Wenxuan Wu, Yunfan Li, Lizhong Chen:
UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs. CoRR abs/2007.09822 (2020) - [i1]Pengcheng Li, Yongbin Gu:
Learning Forward Reuse Distance. CoRR abs/2007.15859 (2020)
2010 – 2019
- 2019
- [c4]Yongbin Gu, Lizhong Chen:
Dynamically linked MSHRs for adaptive miss handling in GPUs. ICS 2019: 510-521 - 2018
- [c3]Yongbin Gu, Lizhong Chen:
CART: Cache Access Reordering Tree for Efficient Cache and Memory Accesses in GPUs. ICCD 2018: 250-257 - [c2]Arash AziziMazreah, Yongbin Gu, Xiang Gu, Lizhong Chen:
Tolerating Soft Errors in Deep Learning Accelerators with Reliable On-Chip Memory Designs. NAS 2018: 1-10 - 2015
- [c1]Yongliang Yang, Yongbin Gu, Shengxiang Ge, Zhanghong Tang, Xianbo Qiu:
Development of a quantifiable optical reader for lateral flow immunoassay. BMEI 2015: 344-349
Coauthor Index
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