MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster
Originally published on ArXiv - Hardware Architecture
Computer Science > Hardware Architecture
arXiv:2504.03675v1 (cs)
[Submitted on 21 Mar 2025]
Title:MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster
Authors:Sergio Mazzola, Yichao Zhang, Marco Bertuletti, Diyou Shen, Luca Benini
View a PDF of the paper titled MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster, by Sergio Mazzola and 4 other authors
Abstract:As computational paradigms evolve, applications such as attention-based models, wireless telecommunications, and computer vision impose increasingly challenging requirements on computer architectures: significant memory footprints and computing resources are demanded while maintaining flexibility and programmability at a low power budget. Thanks to their advantageous trade-offs, shared-L1-memory clusters have become a common building block of massively parallel computing architectures tackling these issues. MemPool is an open-source, RISC-V-based manycore cluster scaling up to 1024 processing elements (PEs). MemPool offers a scalable, extensible, and programmable solution to the challenges of shared-L1 clusters, establishing itself as an open-source research platform for architectural variants covering a wide trade-off space between versatility and performance. As a demonstration, this paper compares the three main MemPool flavors, Baseline MemPool, Systolic MemPool, and Vectorial MemPool, detailing their architecture, targets, and achieved trade-offs.
Subjects:
Hardware Architecture (cs.AR); Distributed, Parallel, and Cluster Computing (cs.DC)
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arXiv:2504.03675 [cs.AR]
(or arXiv:2504.03675v1 [cs.AR] for this version)
https://doi.org/10.48550/arXiv.2504.03675
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arXiv-issued DOI via DataCite
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From: Sergio Mazzola [view email]
[v1] Fri, 21 Mar 2025 08:31:22 UTC (303 KB)
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