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- research-articleMarch 2023
Unified Buffer: Compiling Image Processing and Machine Learning Applications to Push-Memory Accelerators
- Qiaoyi Liu,
- Jeff Setter,
- Dillon Huff,
- Maxwell Strange,
- Kathleen Feng,
- Mark Horowitz,
- Priyanka Raina,
- Fredrik Kjolstad
ACM Transactions on Architecture and Code Optimization (TACO), Volume 20, Issue 2June 2023, Article No.: 26, pp 1–26https://doi.org/10.1145/3572908Image processing and machine learning applications benefit tremendously from hardware acceleration. Existing compilers target either FPGAs, which sacrifice power and performance for programmability, or ASICs, which become obsolete as applications change. ...
- research-articleJanuary 2023
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers
- Kalhan Koul,
- Jackson Melchert,
- Kavya Sreedhar,
- Leonard Truong,
- Gedeon Nyengele,
- Keyi Zhang,
- Qiaoyi Liu,
- Jeff Setter,
- Po-Han Chen,
- Yuchen Mei,
- Maxwell Strange,
- Ross Daly,
- Caleb Donovick,
- Alex Carsello,
- Taeyoung Kong,
- Kathleen Feng,
- Dillon Huff,
- Ankita Nayak,
- Rajsekhar Setaluri,
- James Thomas,
- Nikhil Bhagdikar,
- David Durst,
- Zachary Myers,
- Nestan Tsiskaridze,
- Stephen Richardson,
- Rick Bahr,
- Kayvon Fatahalian,
- Pat Hanrahan,
- Clark Barrett,
- Mark Horowitz,
- Christopher Torng,
- Fredrik Kjolstad,
- Priyanka Raina
ACM Transactions on Embedded Computing Systems (TECS), Volume 22, Issue 2March 2023, Article No.: 35, pp 1–34https://doi.org/10.1145/3534933With the slowing of Moore’s law, computer architects have turned to domain-specific hardware specialization to continue improving the performance and efficiency of computing systems. However, specialization typically entails significant modifications to ...
