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Computer Science > Hardware Architecture

arXiv:2503.24132 (cs)
[Submitted on 31 Mar 2025]

Title:Banked Memories for Soft SIMT Processors

Authors:Martin Langhammer, George A. Constantinides
View a PDF of the paper titled Banked Memories for Soft SIMT
Processors, by Martin Langhammer and 1 other authors
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    Abstract:Recent advances in soft GPGPU architectures have shown
    that a small (<10K LUT), high performance (770 MHz) processor is
    possible in modern FPGAs. In this paper we architect and evaluate
    soft SIMT processor banked memories, which can support high
    bandwidth (up to 16 ports) while maintaining high speed (over 770
    MHz). We compare 9 different memory architectures, including
    simpler multi-port memories, and run a total of 51 benchmarks
    (different combinations of algorithms, data sizes and processor
    memories) to develop a comprehensive set of data which will guide
    the reader in making an informed memory architecture decision for
    their application. Our benchmarks are comprised of matrix
    transpositions (memory intensive) and FFTs (split between memory
    accesses, floating point, and integer computations) to provide a
    balanced evaluation. We show that the simpler (but more memory
    block intensive) multi-port memories offer higher performance
    than the more architecturally complex banked memories for many
    applications, especially for smaller memories, but the effective
    footprint cost of the multi-port memories quickly becomes
    prohibitive as dataset sizes increase. Our banked memory
    implementation results - high bandwidth, high Fmax, and high
    density - can be used for other FPGA applications as well, such
    as HLS (High Level Synthesis).

Comments: 10 pages, 9 figures
Subjects: Hardware Architecture (cs.AR)
Cite as:  arXiv:2503.24132 [cs.AR]
          (or arXiv:2503.24132v1 [cs.AR] for this version)
          https://doi.org/10.48550/arXiv.2503.24132
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Martin Langhammer [view email]
[v1] Mon, 31 Mar 2025 14:17:12 UTC (457 KB)
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