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Searched The ACM Guide to Computing Literature (3,482,418 records)|Limit your search to The ACM Full-Text Collection (691,749 records)
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- research-articleMarch 2023
The Sparse Abstract Machine
- Olivia Hsu,
- Maxwell Strange,
- Ritvik Sharma,
- Jaeyeon Won,
- Kunle Olukotun,
- Joel S. Emer,
- Mark A. Horowitz,
- Fredrik Kjølstad
ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3March 2023, pp 710–726https://doi.org/10.1145/3582016.3582051We propose the Sparse Abstract Machine (SAM), an abstract machine model for targeting sparse tensor algebra to reconfigurable and fixed-function spatial dataflow accelerators. SAM defines a streaming dataflow abstraction with sparse primitives that ...
- 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 ...
- research-articleMarch 2020
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators
- Xuan Yang,
- Mingyu Gao,
- Qiaoyi Liu,
- Jeff Setter,
- Jing Pu,
- Ankita Nayak,
- Steven Bell,
- Kaidi Cao,
- Heonjae Ha,
- Priyanka Raina,
- Christos Kozyrakis,
- Mark Horowitz
ASPLOS '20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating SystemsMarch 2020, pp 369–383https://doi.org/10.1145/3373376.3378514We show that DNN accelerator micro-architectures and their program mappings represent specific choices of loop order and hardware parallelism for computing the seven nested loops of DNNs, which enables us to create a formal taxonomy of all existing ...
- articleMay 1998
Informing memory operations: memory performance feedback mechanisms and their applications
ACM Transactions on Computer Systems (TOCS), Volume 16, Issue 2May 1998, pp 170–205https://doi.org/10.1145/279227.279230Memory latency is an important bottleneck in system performance that cannot be adequately solved by hardware alone. Several promising software techniques have been shown to address this problem successfully in specific situations. However, the ...
