3 papers
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.CR2022
BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh +2
Adversarial bit-flip attack (BFA) on Neural Network weights can result in catastrophic accuracy degradation by flipping a very small number of bits. A major drawback of prior bit f…
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…