activity
20162023
most citedSuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

375 citations · 441 across the 12 of their papers we have counts for

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Showing cs.ARShow all

7 papers · 1 filter

cs.AR2023★ 3 cited

A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs

Eduardo Rhod, Behnam Ghavami, Zhenman Fang +1

Many aerospace and automotive applications use FPGAs in their designs due to their low power and reconfigurability requirements. Meanwhile, such applications also pose a high stand…

cs.AR2022★ 2 cited

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Peiyan Dong, Mengshu Sun, Alec Lu +8

While vision transformers (ViTs) have continuously achieved new milestones in the field of computer vision, their sophisticated network architectures with high computation and memo…

cs.AR2022★ 44 cited

TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design

Licheng Guo, Yuze Chi, Jason Lau +9

In this paper, we propose TAPA, an end-to-end framework that compiles a C++ task-parallel dataflow program into a high-frequency FPGA accelerator. Compared to existing solutions, T…

cs.AR2022

TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs

Weikang Qiao, Licheng Guo, Zhenman Fang +2

The emergence of high-bandwidth memory (HBM) brings new opportunities to boost the performance of sorting acceleration on FPGAs, which was conventionally bounded by the available o…

cs.AR2021

SeaPlace: Process Variation Aware Placement for Reliable Combinational Circuits against SETs and METs

Kiarash Saremi, Hossein Pedram, Behnam Ghavami +3

Nowadays nanoscale combinational circuits are facing significant reliability challenges including soft errors and process variations. This paper presents novel process variation-aw…

cs.AR2018

Best-Effort FPGA Programming: A Few Steps Can Go a Long Way

Jason Cong, Zhenman Fang, Yuchen Hao +4

FPGA-based heterogeneous architectures provide programmers with the ability to customize their hardware accelerators for flexible acceleration of many workloads. Nonetheless, such…