An evaluation of unified memory technology on nvidia gpus W Li, G Jin, X Cui, S See 2015 15th IEEE/ACM international symposium on cluster, cloud and grid …, 2015 | 102 | 2015 |
InFO_SoW (system-on-wafer) for high performance computing SR Chun, TH Kuo, HY Tsai, CS Liu, CT Wang, JS Hsieh, TS Lin, T Ku, ... 2020 IEEE 70th Electronic Components and Technology Conference (ECTC), 1-6, 2020 | 36 | 2020 |
Directive-based partitioning and pipelining for graphics processing units X Cui, TRW Scogland, BR De Supinski, W Feng 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 21 | 2017 |
Iterative machine learning (iterml) for effective parameter pruning and tuning in accelerators X Cui, W Feng Proceedings of the 16th ACM International Conference on Computing Frontiers …, 2019 | 14 | 2019 |
Directive-based pipelining extension for openmp X Cui, TRW Scogland, BR De Supinski, WC Feng 2016 IEEE International Conference on Cluster Computing (CLUSTER), 481-484, 2016 | 13 | 2016 |
Iterml: Iterative machine learning for intelligent parameter pruning and tuning in graphics processing units X Cui, W Feng Journal of Signal Processing Systems 93, 391-403, 2021 | 5 | 2021 |
Performance evaluation of the nvidia tesla p100: Our directive-based partitioning and pipelining vs. nvidia’s unified memory X Cui, TRW Scogland, BR de Supinski, W Feng Matrix 40, 50, 2017 | 3 | 2017 |
Directive-Based Data Partitioning and Pipelining and Auto-Tuning for High-Performance GPU Computing X Cui Virginia Tech, 2020 | 2 | 2020 |
Performance evaluation of the NVIDIA Tesla V100: block level pipelining vs. kernel level pipelining X Cui, T Scogland, B de Supinski, W Feng Dallas: SC18, 2018 | 2 | 2018 |
Classification Team Project for IDEAL in CS5604, Spring 2015 X Cui, R Tao, R Zhang | 1 | 2015 |
BLP: Block-Level Pipelining for GPUs W Feng, X Cui, T Scogland, B De Supinski Proceedings of the 21st ACM International Conference on Computing Frontiers …, 2024 | | 2024 |
CS 5604 Information Retrieval and Storage Spring 2015 Final Project Report X Cui, R Tao, R Zhang, EA Fox | | 2015 |