Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms

Efficient utilization of on-chip computational and memory resources, along with optimized high-level synthesis (HLS) coding, is vital to maximize parallelism and minimize latency. This paper demonstrates the HLS algorithms to achieve high utilization of processing elements to enhance parallelism. It also analyzes how various parameters of an attention layer impact latency, employs an efficient tiling technique, and explains the process of selecting an optimized tile size (TS).

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1109/fccm62733.2025.00053
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
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article

Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms

Jason D. Bakos, Austin Downey, David Andrews, Ehsan Kabir et al.
CCD and CMOS Imaging Sensors
article

Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms

Jason D. Bakos, Austin Downey, David Andrews, Ehsan Kabir, Miaoqing Huang
article en

Abstract

Efficient utilization of on-chip computational and memory resources, along with optimized high-level synthesis (HLS) coding, is vital to maximize parallelism and minimize latency. This paper demonstrates the HLS algorithms to achieve high utilization of processing elements to enhance parallelism. It also analyzes how various parameters of an attention layer impact latency, employs an efficient tiling technique, and explains the process of selecting an optimized tile size (TS).

University of South Carolina (US), University of Arkansas at Fayetteville (US)
Openalex Percentile: Top 90%
CCD and CMOS Imaging Sensors
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