Search Results for author: Kyle Marino

Found 1 papers, 0 papers with code

ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers

no code implementations15 Feb 2024 Kyle Marino, Pengmiao Zhang, Viktor Prasanna

We evaluate ME-ViT on systolic array sizes of 32 and 16, achieving up to a 9. 22$\times$ and 17. 89$\times$ overall improvement in memory bandwidth, and a 2. 16$\times$ improvement in throughput per DSP for both designs over state-of-the-art ViT accelerators on FPGA.

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