Awards & Honors
- Editors’ Pick for Notable Papers, ACM Transactions on Mathematical Software (C. Yang, A. Buluç, J. D. Owens, GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU). Awarded December 2024
- UC Davis College of Engineering Outstanding Mid-Career Faculty for Excellence in Research Award, 2022
- IEEE Fellow, 2021
- American Association for the Advancement of Science (AAAS) Fellow, 2021
- Department of Electrical and Computer Engineering Distinguished Research Award, 2019 (first recipient)
- Test of Time Award, 2019 High Performance Graphics, for the most influential paper from the 2010 predecessor conferences to HPG (S. Tzeng, A. Patney, and J. D. Owens, Task Management for Irregular-Parallel Workloads on the GPU)
- Principal Investigator, NVIDIA GPU AI Research Center at UC Davis, 2019–present
- MIT/IEEE/Amazon GraphChallenge:
- 2019 Student Innovation Award (X. Wang, Z. Lin, C. Yang, and J. D. Owens, Accelerating DNN Inference with GraphBLAS and the GPU)
- 2019 Finalist (L. Wang and J. D. Owens, Fast BFS-Based Triangle Counting on GPUs)
- Distinguished Paper, European Conference on Parallel and Distributed Computing (Euro-Par) 2018 (C. Yang, A. Buluç, and J. D. Owens, Design Principles for Sparse Matrix Multiplication on the GPU)
- Best Artifact Award, European Conference on Parallel and Distributed Computing (Euro-Par) 2018 (C. Yang, A. Buluç, and J. D. Owens, Design Principles for Sparse Matrix Multiplication on the GPU)
- “Advisor of Excellence”, Theta Tau Professional Engineering Fraternity, 2018, Omicron Gamma chapter (national award, selected from advisors of 83 chapters)
- ACM Distinguished Member, 2017
- Test of Time Award, 2017 High Performance Graphics, for the most influential paper from the 2007 and 2008 predecessor conferences to HPG (S. Sengupta, M. Harris, Y. Zhang, and J. D. Owens, Scan Primitives for GPU Computing)
- Distinguished Paper, ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016 (Y. Wang, A. Davidson, Y. Pan, Y. Wu, A. Riffel, and J. D. Owens, Gunrock: A High-Performance Graph Processing Library on the GPU)
- Distinguished Paper, European Conference on Parallel and Distributed Computing (Euro-Par) 2015 (L. Wang, S. Baxter, and J. D. Owens, Fast Suffix Array on the GPU)
- Best Paper Finalist, 2015 IEEE International Symposium on Workload Characterization (Y. Wu, Y. Wang, Y. Pan, C. Yang, and J. D. Owens, Performance Characterization of High-Level Programming Models for GPU Graph Analytics)
- US Frontiers of Engineering Symposium (National Academy of Engineering), 2016, 2013
- NVIDIA CUDA Fellow, 2012
- “Advisor of Excellence”, Theta Tau Professional Engineering Fraternity, 2012, Omicron Gamma chapter (national award, selected from advisors of 55 chapters)
- Finalist, ASUCD Excellence in Education Award (College of Engineering), 2009
- ECE Graduate Student Association Award for Graduate Teaching and Mentorship, 2009 (first recipient)
- Best Paper Award, Graphics Hardware 2007 (S. Sengupta, M. Harris, Y. Zhang, and J. D. Owens, Scan Primitives for GPU Computing)
- NVIDIA Faculty Teaching Fellowship, 2006
- Department of Energy Early Career Principal Investigator Award, 2004
- Stanford Program for Academic Excellence Mentor, 1997-2000
- Stanford College of Engineering Lawrence R. Thielen Memorial Fellowship
- Charles Mills Gayley Fellowship for Graduate Study
- Eta Kappa Nu (Mu Chapter)
- Tau Beta Pi (California Alpha Chapter)