E-LIB Suche - Ergebnisse für: He, Jiaao

1

POSTER: Pattern-Aware Sparse Communication for Scalable Rec..:

, In: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming,

He, Jiaao ; Chen, Shengqi ; Zhai, Jidong - p. 466-468 , 2024

Link: https://dl.acm.org/doi/1..

2

FasterMoE : modeling and optimizing training of large-sc..:

, In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,

He, Jiaao ; Zhai, Jidong ; Antunes, Tiago... - p. 120-134 , 2022

Link: https://dl.acm.org/doi/1..

3

Efficiently emulating high-bitwidth computation with low-bi..:

, In: Proceedings of the 36th ACM International Conference on Supercomputing,

Ma, Zixuan ; Wang, Haojie ; Feng, Guanyu... - p. 1-12 , 2022

Link: https://dl.acm.org/doi/1..

4

BaGuaLu : targeting brain scale pretrained models with o..:

, In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,

Ma, Zixuan ; He, Jiaao ; Qiu, Jiezhong... - p. 192-204 , 2022

Link: https://dl.acm.org/doi/1..

5

Critique of "Planetary Normal Mode Computation: Parallel Al..:

Zhang, Chen ; Zhao, Chenggang ; He, Jiaao...
IEEE Transactions on Parallel and Distributed Systems. 32 (2021) 11 - p. 2631-2634 , 2021

Link: https://doi.org/10.1109/..

6

Prague: High-Performance Heterogeneity-Aware Asynchronous D..:

, In: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems,

Luo, Qinyi ; He, Jiaao ; Zhuo, Youwei. - p. 401-416 , 2020

Link: https://dl.acm.org/doi/1..

7

Student Cluster Competition 2018, Team Tsinghua University:..:

He, Jiaao ; Zhao, Chenggang ; Yu, Jiping...
Parallel Computing. 90 (2019) - p. 102570 , 2019

Link: https://doi.org/10.1016/..

8

A Roadmap for Big Model:

Yuan, Sha ; Zhao, Hanyu ; Zhao, Shuai...
http://arxiv.org/abs/2203.14101. , 2022

Link: http://arxiv.org/abs/220..

9

ChaosFlow: Modeling and Optimizing Training of Large-Scale ..:

He, Jiaao
doi:10.5281/zenodo.5728487. , 2021

Link: https://zenodo.org/recor..

10

ChaosFlow: Modeling and Optimizing Training of Large-Scale ..:

He, Jiaao
doi:10.5281/zenodo.5728487. , 2021

Link: https://zenodo.org/recor..

11

FastMoE: A Fast Mixture-of-Expert Training System:

He, Jiaao ; Qiu, Jiezhong ; Zeng, Aohan...
http://arxiv.org/abs/2103.13262. , 2021

Link: http://arxiv.org/abs/210..

12

Heterogeneity-Aware Asynchronous Decentralized Training:

Luo, Qinyi ; He, Jiaao ; Zhuo, Youwei.
http://arxiv.org/abs/1909.08029. , 2019

Link: http://arxiv.org/abs/190..

13

Molecular characteristics and prognostic significances of l..:

He, Shunliang ; Sun, Jiaao ; Guan, Hewen...
Aging. , 2024

Link: https://doi.org/10.18632..

14

Energy-efficient bubble aeration guided by bubble dynamics ..:

Chen, Zhen ; Yu, Jiaao ; Huo, Yang...
Journal of Cleaner Production. 454 (2024) - p. 142324 , 2024

Link: https://doi.org/10.1016/..

15

Investigation of high temperature thermal insulation perfor..:

Liu, He ; Liu, Jia'ao ; Tian, You..
International Journal of Thermal Sciences. 183 (2023) - p. 107827 , 2023

Link: https://doi.org/10.1016/..