Elliott Delaye

12 papers A 1Misc 1Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference. EACL (Industry Track) Sai Gokhale, Devleena Das, Rajeev Patwari, Ashish Sirasao, Elliott Delaye
2025	J	`jnl`	KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference. CoRR Sai Gokhale, Devleena Das, Rajeev Patwari, Ashish Sirasao, Elliott Delaye
2024	J	`jnl`	Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs. IEEE Micro 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
2022	—	`conf`	CGRA4HPC 2022 Invited Speaker: Mapping ML to the AMD/Xilinx AIE-ML architecture. IPDPS Workshops Elliott Delaye
2022	—	`conf`	Hardware-aware Neural Architecture Search with segmentation-based selection. ICICT Taehee Jeong, Elliott Delaye
2022	J	`jnl`	xDNN: Inference for Deep Convolutional Neural Networks. ACM Trans. Reconfigurable Technol. Syst. Paolo D'Alberto, Victor Wu, Aaron Ng, Rahul Nimaiyar, Elliott Delaye, Ashish Sirasao
2021	J	`jnl`	Bring Your Own Codegen to Deep Learning Compiler. CoRR Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang
2021	—	`conf`	Neural network pruning for biomedical image segmentation. Image-Guided Procedures Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao
2020	Misc	`conf`	Neural network pruning and hardware acceleration. UCC Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao
2018	—	`conf`	Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications. ISPD Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi
2018	J	`jnl`	Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines. CoRR Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu
2017	A	`conf`	Deep learning challenges and solutions with Xilinx FPGAs. ICCAD Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das