Showing results 1 to 11 of 11
| Title | Author(s) | Issue Date | |
|---|---|---|---|
Accelerating Large-Scale Distributed Neural Network Training with SPMD Parallelism Proceeding/Conference:SoCC '22: Proceedings of the 13th Symposium on Cloud Computing | 2022 | ||
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy Journal:IEEE Transactions on Knowledge and Data Engineering | 2020 | ||
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 | ||
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters Journal:IEEE Transactions on Parallel and Distributed Systems | 2021 | ||
Efficient Batch One-Hop Personalized PageRanks Proceeding/Conference:International Conference on Data Engineering. Proceedings | 2019 | ||
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 | ||
Highly anisotropic and flexible piezoceramic kirigami for preventing joint disorders Journal:Science Advances | 2021 | ||
Optimizing distributed training deployment in heterogeneous GPU clusters Proceeding/Conference:Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies | 2020 | ||
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion Journal:IEEE Transactions on Parallel and Distributed Systems | 2022 |