Publications
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Filters: Author is Jiali Li [Clear All Filters]
Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training,”
2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC), Denver, CO, IEEE, November 2019.
(696.89 KB)
“Mixed precision and approximate 3D FFTs: Speed for accuracy trade-off with GPU-aware MPI and run-time data compression,”
ICL Technical Report, no. ICL-UT-22-04, May 2022.
(706.14 KB)
“DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models,”
20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, VIC, Australia, IEEE, May 2020.
(424.19 KB)
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