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Journal Articles
- 2022
[j1]Paolo D'Alberto
, Victor Wu, Aaron Ng, Rahul Nimaiyar, Elliott Delaye, Ashish Sirasao:
xDNN: Inference for Deep Convolutional Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 15(2): 18:1-18:29 (2022)
Conference and Workshop Papers
- 2022
- [c6]Taehee Jeong, Elliott Delaye:
Hardware-aware Neural Architecture Search with segmentation-based selection. ICICT 2022: 121-127 - [c5]Elliott Delaye:
CGRA4HPC 2022 Invited Speaker: Mapping ML to the AMD/Xilinx AIE-ML architecture. IPDPS Workshops 2022: 628 - 2021
- [c4]Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao:
Neural network pruning for biomedical image segmentation. Image-Guided Procedures 2021 - 2020
- [c3]Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao:
Neural network pruning and hardware acceleration. UCC 2020: 440-445 - 2018
- [c2]Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi:
Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications. ISPD 2018: 42-47 - 2017
- [c1]Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das:
Deep learning challenges and solutions with Xilinx FPGAs. ICCAD 2017: 908-913
Informal and Other Publications
- 2021
- [i2]Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang:
Bring Your Own Codegen to Deep Learning Compiler. CoRR abs/2105.03215 (2021) - 2018
- [i1]Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu:
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines. CoRR abs/1805.07941 (2018)
Coauthor Index
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