Welcome
I am an assistant professor in the department of computer science at National Chiao Tung University.
My research work spans computer architecture, computer systems, and programming languages.
I am always looking for undergraduate and graduate students excited about the research in
computer architecture, systems, and programming languages.
Please email me
with a copy of your resume or CV if you are interested in working with me.
Research
My research aims to design high throughput, low latency, and high energy efficiency
domain-specific accelerators and their systems.[video]
My research domains:
· Computer Architecture
· Computer Systems
· Memory and Storage Systems
· Domain-specific Accelerators (GPU, Neural Processing Units)
Bio
I received a Ph.D in Electrical and Computer Engineering, Purdue University in 2020 and was advised by Timothy G. Rogers.
I obtained my M.S. in Institute of Information Systems and Applications,
National Tsing Hua University, Taiwan.
Previously, I worked at AMD Research, Purdue University, and Academia Sinica.
My research work was nominated by the Best Paper
Award (PPoPP 2017). I was also the recipient of the Lynn Fellowship at Purdue University.
To know more about me, please visit my CV.
Selected Publications
[HPCA] Deadline-Aware Offloading for High-Throughput Accelerators,
Tsung Tai Yeh, Matthew D. Sinclair, Brad Beckmann, Timothy G Rogers,
in the 27th IEEE International Symposium on High-Performance Computer Architecture, 2021. Acceptance rate: (63/258) = 24.4% [slide] [video]
[ASPLOS] Dimensionality-Aware Redundant SIMT Instruction Elimination,
Tsung Tai Yeh, Roland Green, Timothy G. Rogers,
in ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2020.Acceptance rate: 86/476 = 18%
[PPoPP] Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks,
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers,
in Proceedings of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017.
Acceptance rate: 39/132 = 22%, Best Paper Nominee
Grant Funding
Accelerating Ray Tracing on CGRA-based Architecture,
MediaTek MARC, 01/01/2022 - 07/01/2023
Designing an In-storage Accelerator for Deep Neural Networks ,
Phison, 03/01/2022 - 02/28/2023
Optimizing Domain-Specific Accelerator Hardware Resource Utilization,
109-2222-E-009-009-MY2, MOST, 11/01/2020 - 10/31/2022
Invited Talk
Optimizing Multi-Chip-Module Packaging Architecture for Multi-Tenant DNNs, NTHU CS, Graduate Student Seminar, 12/1/2021
Tesla Dojo Architecture, 9/25/2021, [video]
Accelerating Machine Learning Through Software and Hardware Optimization, Taichung First Senior High School, 6/16/2021, [slide]
When GPU Architecture Designs Meet Machine Learning, NTHU CS, Advanced Computer Architecture Class, 1/7/2021, [slide]
Scaling Performance and Energy Efficiency Through Domain-Specific Accelerators, NTHU/NCU CS, Graduate Student Seminar, 11/18/2020, 11/25,2020, [slide]
When Microprocessor Designs Meet Machine Learning, NCTU CS, Junior Seminar, 11/16/2020, [slide]
When Designs of Computer Architecture Meet Machine Learning, NCTU CS, Freshman Seminar, 11/11/2020, [slide]