| OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization G Ahdritz, N Bouatta, C Floristean, S Kadyan, Q Xia, W Gerecke, ... Nature Methods, 1-11, 2024 | 248 | 2024 |
| A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining H Peng, S Huang, S Chen, B Li, T Geng, A Li, W Jiang, W Wen, J Bi, H Liu, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1135-1140, 2022 | 59 | 2022 |
| Et: re-thinking self-attention for transformer models on gpus S Chen, S Huang, S Pandey, B Li, GR Gao, L Zheng, C Ding, H Liu Proceedings of the international conference for high performance computing …, 2021 | 38 | 2021 |
| Sparse progressive distillation: Resolving overfitting under pretrain-and-finetune paradigm S Huang, D Xu, IEH Yen, Y Wang, SE Chang, B Li, S Chen, M Xie, ... The 60th Annual Meeting of the Association for Computational Linguistics 1 …, 2022 | 31 | 2022 |
| {Quant-LLM}: Accelerating the Serving of Large Language Models via {FP6-Centric}{Algorithm-System}{Co-Design} on Modern {GPUs} H Xia, Z Zheng, X Wu, S Chen, Z Yao, S Youn, A Bakhtiari, M Wyatt, ... 2024 USENIX Annual Technical Conference (USENIX ATC 24), 699-713, 2024 | 23* | 2024 |
| Optimizing fpga-based accelerator design for large-scale molecular similarity search (special session paper) H Peng, S Chen, Z Wang, J Yang, SA Weitze, T Geng, A Li, J Bi, M Song, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 15 | 2021 |
| Motif-based graph representation learning with application to chemical molecules Y Wang, S Chen, G Chen, E Shurberg, H Liu, P Hong Informatics 10 (1), 8, 2023 | 13 | 2023 |
| Zeroquant (4+ 2): Redefining llms quantization with a new fp6-centric strategy for diverse generative tasks X Wu, H Xia, S Youn, Z Zheng, S Chen, A Bakhtiari, M Wyatt, ... arXiv preprint arXiv:2312.08583, 2023 | 12 | 2023 |
| Deepspeed4science initiative: Enabling large-scale scientific discovery through sophisticated ai system technologies SL Song, B Kruft, M Zhang, C Li, S Chen, C Zhang, M Tanaka, X Wu, ... arXiv preprint arXiv:2310.04610, 2023 | 12 | 2023 |
| HMC-TRAN A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU S Huang, S Chen, H Peng, D Manu, Z Kong, G Yuan, L Yang, S Wang, ... Proceedings of the 2021 on Great Lakes Symposium on VLSI, 169-174, 2021 | 9 | 2021 |
| TANGO: Re-Thinking quantization for graph neural network training on GPUs S Chen, D Zheng, C Ding, C Huan, Y Ji, H Liu Proceedings of the International Conference for High Performance Computing …, 2023 | 4 | 2023 |
| TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture C Huan, Y Liu, H Zhang, S Song, S Pandey, S Chen, X Fang, Y Jin, ... ACM Transactions on Architecture and Code Optimization 21 (2), 1-26, 2024 | 2 | 2024 |
| Kernel fusion in atomistic spin dynamics simulations on Nvidia GPUs using tensor core H Chen, S Chen, JJ Turner, A Feiguin Journal of Computational Science 81, 102357, 2024 | 1 | 2024 |
| PeeK: A Prune-Centric Approach for K Shortest Path Computation W Feng, S Chen, H Liu, Y Ji Proceedings of the International Conference for High Performance Computing …, 2023 | 1 | 2023 |
Hang LiuRutgers, The State University of New JerseyAdresă de e-mail confirmată pe scarletmail.rutgers.edu