Követés
Jingwen Leng
Jingwen Leng
E-mail megerősítve itt: cs.sjtu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
GPUWattch: Enabling energy optimizations in GPGPUs
J Leng, T Hetherington, A ElTantawy, S Gilani, NS Kim, TM Aamodt, ...
ACM SIGARCH computer architecture news 41 (3), 487-498, 2013
7682013
A locality-aware memory hierarchy for energy-efficient GPU architectures
M Rhu, M Sullivan, J Leng, M Erez
Proceedings of the 46th Annual IEEE/ACM International Symposium on …, 2013
1682013
Safe limits on voltage reduction efficiency in GPUs: A direct measurement approach
J Leng, A Buyuktosunoglu, R Bertran, P Bose, VJ Reddi
Proceedings of the 48th International Symposium on Microarchitecture, 294-307, 2015
1122015
Accelerating sparse dnn models without hardware-support via tile-wise sparsity
C Guo, BY Hsueh, J Leng, Y Qiu, Y Guan, Z Wang, X Jia, X Li, M Guo, ...
SC20: International Conference for High Performance Computing, Networking …, 2020
902020
Dual-side sparse tensor core
Y Wang, C Zhang, Z Xie, C Guo, Y Liu, J Leng
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
702021
Adaptive guardband scheduling to improve system-level efficiency of the POWER7+
Y Zu, CR Lefurgy, J Leng, M Halpern, MS Floyd, VJ Reddi
Proceedings of the 48th International Symposium on Microarchitecture, 308-321, 2015
702015
Squant: On-the-fly data-free quantization via diagonal hessian approximation
C Guo, Y Qiu, J Leng, X Gao, C Zhang, Y Liu, F Yang, Y Zhu, M Guo
arXiv preprint arXiv:2202.07471, 2022
622022
Adversarial defense through network profiling based path extraction
Y Qiu, J Leng, C Guo, Q Chen, C Li, M Guo, Y Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
602019
GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures
J Leng, Y Zu, VJ Reddi
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
592015
Architectural implications of graph neural networks
Z Zhang, J Leng, L Ma, Y Miao, C Li, M Guo
IEEE Computer architecture letters 19 (1), 59-62, 2020
582020
Olive: Accelerating large language models via hardware-friendly outlier-victim pair quantization
C Guo, J Tang, W Hu, J Leng, C Zhang, F Yang, Y Liu, M Guo, Y Zhu
Proceedings of the 50th Annual International Symposium on Computer …, 2023
532023
Enable simultaneous dnn services based on deterministic operator overlap and precise latency prediction
W Cui, H Zhao, Q Chen, N Zheng, J Leng, J Zhao, Z Song, T Ma, Y Yang, ...
Proceedings of the International Conference for High Performance Computing …, 2021
502021
GPUVolt: Modeling and characterizing voltage noise in GPU architectures
J Leng, Y Zu, M Rhu, M Gupta, VJ Reddi
Proceedings of the 2014 international symposium on Low power electronics and …, 2014
472014
Dubhe: Towards data unbiasedness with homomorphic encryption in federated learning client selection
S Zhang, Z Li, Q Chen, W Zheng, J Leng, M Guo
Proceedings of the 50th International Conference on Parallel Processing, 1-10, 2021
412021
VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling
Z Liu, J Leng, Z Zhang, Q Chen, C Li, M Guo
Proceedings of the 27th ACM International Conference on Architectural …, 2022
382022
Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators
Y Zhou, M Yang, C Guo, J Leng, Y Liang, Q Chen, M Guo, Y Zhu
2021 IEEE International Symposium on Workload Characterization (IISWC), 214-225, 2021
372021
Exploiting webpage characteristics for energy-efficient mobile web browsing
Y Zhu, A Srikanth, J Leng, VJ Reddi
IEEE Computer Architecture Letters 13 (1), 33-36, 2012
342012
Transkimmer: Transformer learns to layer-wise skim
Y Guan, Z Li, J Leng, Z Lin, M Guo
arXiv preprint arXiv:2205.07324, 2022
322022
Ptolemy: Architecture support for robust deep learning
Y Gan, Y Qiu, J Leng, M Guo, Y Zhu
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
322020
Modern hardware margins: CPUs, GPUs, FPGAs recent system-level studies
D Gizopoulos, G Papadimitriou, A Chatzidimitriou, VJ Reddi, B Salami, ...
2019 IEEE 25th International Symposium on On-Line Testing and Robust System …, 2019
322019
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20