Elliott Delaye

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Image Segmentation

Inference Engine

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Medical Imaging: Image-Guided Procedures

Publications

Elliott Delaye
CGRA4HPC 2022 Invited Speaker: Mapping ML to the AMD/Xilinx AIE-ML architecture. IPDPS Workshops (2022)
Taehee Jeong, Elliott Delaye
Hardware-aware Neural Architecture Search with segmentation-based selection. ICICT (2022)
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) (2022)
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 (2021)
Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao
Neural network pruning for biomedical image segmentation. Medical Imaging: Image-Guided Procedures (2021)
Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao
Neural network pruning and hardware acceleration. UCC (2020)
Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi
Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications. ISPD (2018)
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 (2018)
Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das
Deep learning challenges and solutions with Xilinx FPGAs. ICCAD (2017)