Kun Wu

227 Coordinated Science Laboratory
1308 W Main St
Urbana, IL 61801
Kun is currently a fourth-year Ph.D. student at UIUC, advised by Prof. Wen-mei Hwu. His research interest lies in compilers and libraries for graphics processing units and parallel computer architecture. He has contributed to several impactful projects, involving PyTorch-Direct and Pylog.
Kun received his bachelor’s degree in Electronic Engineering from Tsinghua University. Before that, he published one first-authored paper in Design Automation Conference under the supervision of Prof. Yuan Xie and Prof. Yu Wang.
Want a talk with me? Feel free to send me an email :D My availability can be queried at the published Outlook calendar.
News
Nov 30, 2022 | We filed a patent application to USPTO earlier this month for the idea conceived during HPE Internship in Summer 2021! |
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Mar 1, 2022 | Techniques proposed in our Pytorch-Direct project is now available in DGL v0.8! Please check the CUDA UVA-based optimization in the release note. |
Aug 2, 2021 | Findings in our Pytorch-Direct project led by David (Seungwon) Min have been merged to the DGL master branch! (PR #3086, #3184, #3194) |
Apr 12, 2021 | David (Seungwon) Min and I gave a talk at GTC 2021 on our Pytorch-Direct project! |
Select Publications
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SaintSN: Streamlined and Intelligent Storage Node System-on-a-Chip for Exascale ClusterAcceptance rate: 17.6%. Pending US patent.Proceedings of the Hewlett Packard Enterprise Technical Conference 2022
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Memory-Bound Proof-of-Work Acceleration for Blockchain ApplicationsProceedings of the 56th Annual Design Automation Conference 2019