Insights into GPUDirect Data Transfer through NIXL Benchmarking
Scientific applications are turning to GPUs to analyze and produce data due to advances in AI technologies. However, getting data to the GPU from storage is a challenge. Although technologies such as NVIDIA GDS and NIXL exist, limited research has been conducted on the actual benefits and trade-offs of these technologies. Our motivation is to explore the benefits and trade-offs of using GDS and the NIXL library by running benchmarking experiments.
Authors
- Luke Logan (ORCID: https://orcid.org/0000-0002-7487-1947)
- Xian‐He Sun (ORCID: https://orcid.org/0000-0002-1093-0792)
- Anthony Kougkas (ORCID: https://orcid.org/0000-0003-3943-663X)
- Jie Ye
- Isa Muradli
Institutions
- Illinois Institute of Technology (US)
Publication Details
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1109/escience65000.2025.00075
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00