2026-08-05T23:51:59Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:16122 2024-03-06T10:31:42Z ddc:004 open_access

Multithread Accelerators on FPGAs: A Dataflow-Based Approach Ratto, Francesco Esposito, Stefano Sau, Carlo Raffo, Luigi Palumbo, Francesca multithreading dataflow hardware acceleration heterogeneous systems tagged dataflow Multithreading is a well-known technique for general-purpose systems to deliver a substantial performance gain, raising resource efficiency by exploiting underutilization periods. With the increase of specialized hardware, resource efficiency became fundamental to master the introduced overhead of such kind of devices. In this work, we propose a model-based approach for designing specialized multithread hardware accelerators. This novel approach exploits dataflow models of applications and tagged tokens to let the resulting hardware support concurrent threads without the need to replicate the whole accelerator. Assessment is carried out over different versions of an accelerator for a compute-intensive step of modern video coding algorithms, under several feeding configurations. Results highlight that the proposed multithread accelerators achieve a valuable tradeoff: saving computational resources with respect to replicated parallel single-thread accelerators, while guaranteeing shorter waiting, response, and elaboration time than a unique single-thread accelerator multiplexed in time. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Francesco Ratto and Stefano Esposito and Carlo Sau and Luigi Raffo and Francesca Palumbo 2022 Is Part Of OASIcs, Volume 100, 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2022) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.PARMA-DITAM.2022.6 urn:nbn:de:0030-drops-161225 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2022.6 eng https://creativecommons.org/licenses/by/4.0/legalcode