フォロー
Ang Li
Ang Li
Pacific Northwest National Laboratory and University of Washington
確認したメール アドレス: pnnl.gov - ホームページ
タイトル
引用先
引用先
Superneurons: Dynamic GPU memory management for training deep neural networks
L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska
Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018
2502018
AWB-GCN: A graph convolutional network accelerator with runtime workload rebalancing
T Geng, A Li, R Shi, C Wu, T Wang, Y Li, P Haghi, A Tumeo, S Che, ...
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
2372020
Evaluating modern gpu interconnect: Pcie, nvlink, nv-sli, nvswitch and gpudirect
A Li, SL Song, J Chen, J Li, X Liu, NR Tallent, KJ Barker
IEEE Transactions on Parallel and Distributed Systems 31 (1), 94-110, 2019
2272019
Qasmbench: A low-level quantum benchmark suite for nisq evaluation and simulation
A Li, S Stein, S Krishnamoorthy, J Ang
ACM Transactions on Quantum Computing 4 (2), 1-26, 2023
119*2023
A synchronization-free algorithm for parallel sparse triangular solves
W Liu, A Li, J Hogg, IS Duff, B Vinter
Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016
1052016
Adaptive and transparent cache bypassing for GPUs
A Li, GJ van den Braak, A Kumar, H Corporaal
Proceedings of the International Conference for High Performance Computing …, 2015
932015
Locality-aware CTA clustering for modern GPUs
A Li, SL Song, W Liu, X Liu, A Kumar, H Corporaal
ACM SIGARCH Computer Architecture News 45 (1), 297-311, 2017
852017
I-GCN: A graph convolutional network accelerator with runtime locality enhancement through islandization
T Geng, C Wu, Y Zhang, C Tan, C Xie, H You, M Herbordt, Y Lin, A Li
MICRO-54: 54th annual IEEE/ACM international symposium on microarchitecture …, 2021
772021
Accelerating transformer-based deep learning models on fpgas using column balanced block pruning
H Peng, S Huang, T Geng, A Li, W Jiang, H Liu, S Wang, C Ding
2021 22nd International Symposium on Quality Electronic Design (ISQED), 142-148, 2021
732021
Qugan: A quantum state fidelity based generative adversarial network
SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, B Fang, S Xu
2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021
71*2021
Tartan: evaluating modern GPU interconnect via a multi-GPU benchmark suite
A Li, SL Song, J Chen, X Liu, N Tallent, K Barker
2018 IEEE International Symposium on Workload Characterization (IISWC), 191-202, 2018
622018
Fine-grained synchronizations and dataflow programming on GPUs
A Li, GJ van den Braak, H Corporaal, A Kumar
Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015
612015
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels
A Li, W Liu, MRB Kristensen, B Vinter, H Wang, K Hou, A Marquez, ...
Proceedings of the International Conference for High Performance Computing …, 2017
572017
FPDeep: Scalable acceleration of CNN training on deeply-pipelined FPGA clusters
T Wang, T Geng, A Li, X Jin, M Herbordt
IEEE Transactions on Computers 69 (8), 1143-1158, 2020
56*2020
Fast synchronization‐free algorithms for parallel sparse triangular solves with multiple right‐hand sides
W Liu, A Li, JD Hogg, IS Duff, B Vinter
Concurrency and Computation: Practice and Experience 29 (21), e4244, 2017
552017
Cudaadvisor: Llvm-based runtime profiling for modern gpus
D Shen, SL Song, A Li, X Liu
Proceedings of the 2018 International Symposium on Code Generation and …, 2018
502018
Quclassi: A hybrid deep neural network architecture based on quantum state fidelity
SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, S Xu, C Ding
Proceedings of Machine Learning and Systems 4, 251-264, 2022
462022
LP-BNN: Ultra-low-latency BNN inference with layer parallelism
T Geng, T Wang, C Wu, C Yang, SL Song, A Li, M Herbordt
2019 IEEE 30th International Conference on Application-specific Systems …, 2019
442019
Bns-gcn: Efficient full-graph training of graph convolutional networks with partition-parallelism and random boundary node sampling
C Wan, Y Li, A Li, NS Kim, Y Lin
Proceedings of Machine Learning and Systems 4, 673-693, 2022
432022
OpenCGRA: An open-source unified framework for modeling, testing, and evaluating CGRAs
C Tan, C Xie, A Li, KJ Barker, A Tumeo
2020 IEEE 38th International Conference on Computer Design (ICCD), 381-388, 2020
432020
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