Elliott Delaye

According to our database, Elliott Delaye authored at least 11 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference.

Sai Gokhale, Devleena Das, Rajeev Patwari, Ashish Sirasao, Elliott Delaye

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2024

Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs.

Krishnakumar Nair, Avinash-Chandra Pandey, Siddappa Karabannavar, Meena Arunachalam, John Kalamatianos, Varun Agrawal, Saurabh Gupta, Ashish Sirasao, Elliott Delaye, Steven K. Reinhardt, Rajesh Vivekanandham, Ralph Wittig, Vinod Kathail, Padmini Gopalakrishnan, Satyaprakash Pareek, Rishabh Jain, Mahmut Taylan Kandemir, Jun-Liang Lin, Gulsum Gudukbay Akbulut, Chita R. Das

IEEE Micro, 2024

2022

xDNN: Inference for Deep Convolutional Neural Networks.

Paolo D'Alberto, Victor Wu, Aaron Ng, Rahul Nimaiyar, Elliott Delaye, Ashish Sirasao

ACM Trans. Reconfigurable Technol. Syst., 2022

CGRA4HPC 2022 Invited Speaker: Mapping ML to the AMD/Xilinx AIE-ML architecture.

Elliott Delaye

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Hardware-aware Neural Architecture Search with segmentation-based selection.

Taehee Jeong, Elliott Delaye

Proceedings of the 5th International Conference on Information and Computer Technologies, 2022

2021

Bring Your Own Codegen to Deep Learning Compiler.

Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang

CoRR, 2021

Neural network pruning for biomedical image segmentation.

Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

Neural network pruning and hardware acceleration.

Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

2018

Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines.

Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu

CoRR, 2018

Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications.

Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi

Proceedings of the 2018 International Symposium on Physical Design, 2018

2017

Deep learning challenges and solutions with Xilinx FPGAs.

Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017