Showing results 1 to 5 of 5
| Title | Author(s) | Issue Date | |
|---|---|---|---|
Characterizing Deep Learning Training Workloads on Alibaba-PAI Proceeding/Conference:IEEE International Symposium on Workload Characterization (IISWC) | 2019 | ||
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models Proceeding/Conference:Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming | 2021 | ||
Efficient Pipeline Planning for Expedited Distributed DNN Training Proceeding/Conference:IEEE INFOCOM 2022 - IEEE Conference on Computer Communications | 2022 | ||
Fast Training of Deep Learning Models over Multiple GPUs Proceeding/Conference:Proceedings of the 21st International Middleware Conference (Middleware '20) | 2020 | ||
Optimizing distributed training deployment in heterogeneous GPU clusters Proceeding/Conference:Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies | 2020 |