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Computer Science > Hardware Architecture

arXiv:2307.08378 (cs)
[Submitted on 17 Jul 2023]

Title:eGPU: A 750 MHz Class Soft GPGPU for FPGA

Authors:Martin Langhammer, George Constantinides
Download a PDF of the paper titled eGPU: A 750 MHz Class Soft GPGPU
for FPGA, by Martin Langhammer and 1 other authors
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    Abstract: This paper introduces the eGPU, a SIMT soft processor
    designed for FPGAs. Soft processors typically achieve modest
    operating frequencies, a fraction of the headline performance
    claimed by modern FPGA families, and obtain correspondingly
    modest performance results. We propose a GPGPU architecture
    structured specifically to take advantage of both the soft logic
    and embedded features of the FPGA. We also consider the physical
    location of the embedded memories and DSP Blocks relative to the
    location and number of soft logic elements in order to have a
    design with balanced resources. Our goal is to create a high
    performance soft processor able to implement complex portions of
    FPGA system designs, such as the linear solvers commonly used in
    wireless systems, through push-button compilation from software.
    The eGPU architecture is a streaming multiprocessor (SM) machine
    with 512 threads. Each SM contains 16 scalar processors (SP).
    Both IEEE754 FP32 and INT32 integer arithmetic are supported. We
    demonstrate a single SM eGPU in an Intel Agilex device, requiring
    5600 ALMs and 24 DSP Blocks, which closes timing at over 770 MHz
    from a completely unconstrained compile. Multiple eGPUs can also
    be tightly packed together into a single Agilex FPGA logic
    region, with minimal speed penalty.

Subjects: Hardware Architecture (cs.AR)
Cite as:  arXiv:2307.08378 [cs.AR]
          (or arXiv:2307.08378v1 [cs.AR] for this version)
          https://doi.org/10.48550/arXiv.2307.08378
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Martin Langhammer [view email]
[v1] Mon, 17 Jul 2023 10:32:51 UTC (62 KB)
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