3 papers
cs.AR2026
FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers
Hubert Dymarkowski, Xingjian Fu, Rappy Saha +2
Deploying Vision Transformer (ViT) models on edge platforms remains challenging due to their high computational demands and the architectural heterogeneity of modern hybrid ViT mod…
cs.AR2026
Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA
Vinamra Sharma, Xingjian Fu, Jude Haris +1
Designing FPGA-based accelerators for modern artificial intelligence workloads requires exploring a large and complex hardware design space that involves architectural parameters,…
cs.AR2026
LLM-Driven Design Space Exploration of FPGA-based Accelerators
Vinamra Sharma, Xingjian Fu, Jude Haris +1
Designing field-programmable gate array (FPGA)-based accelerators for modern artificial intelligence workloads requires navigating a large and complex hardware design space encompa…