Making the Stack Data-Efficient, Composable & Scalable!⚓@NVIDIA Backend Compiler Engineer⚓PhD (@illinois-impact)⚓BEng (Tsinghua)
- Santa Clara
-
14:43
(UTC -07:00) - kunwu.me
- https://orcid.org/0000-0002-0149-1409
- in/kun-wu-069a14105
- https://go.kunwu.me/wakatime
Highlights
Li Peng
idvzchusvol
B.S. @ HUST | Former Intern @ ByteDance | CS Ph.D. student @ PKU working on storage systems and computer architecture
Peking University Beijing, China
Arshia Ilaty
ArshiaIlaty
RA & TA at UCIrvine & SDSU
M.S. UNR
Ex-SWE-Intern at @Turtle-Beach-Corporation
Ex-SWE-Intern at @teslamotors
Ex-SWE at @worldmobilegroup
@UniversityofCalifornia,Irvine San Diego, CA
Peipei Zhou's Lab at Brown University, School of Engineering
peipeizhou-eecs
Research: Customized Architecture and Programming Abstraction for Applications including Healthcare, e.g., Precision Medicine and Artificial Intelligence
Brown University Providence, RI, USA
WilliamMTK
William-An
One Young Programmer
| Purdue University
| SMS
Purdue University USS Enterprise Room C187-L
AmadeusChan
Bachelor in Computer Science and Technology at Tsinghua ---> Ph.D. student in Computer Engineering at USC => CS Ph.D. candidate at Purdue
Miracleyoo
miracleyoo
A Ph.D. student who mainly focus on machine learning, and sometimes create some interesting gadget。
University of California San Diego San Diego, USA
Chen Liu
ChenLiu-1996
CS PhD student at @KrishnaswamyLab, @YaleUniversity.
Reviewing Committee member at NeurIPS, ICLR, ICML.
Yale University New Haven
Jinghua Wang
jwjwjw3
Deep Learning (DL), LLM, K8s, and DL hardware acceleration
University of Illinois at Urbana-Champaign
Leo Yu
fishmingyu
A current Ph.D. in the Department of Computer Science and Engineering, University of California, San Diego
San Diego
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