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P4DMA: Unlocking High-Performance RDMA Traffic Generation on Programmable Switches

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Autor(es):
Costa, Filipo Gabert ; Vogt, Francisco Germano ; Rodriguez Cesen, Fabricio ; Singh, Suneet Kumar ; Luizelli, Marcelo Caggiani ; Rothenberg, Christian Esteve
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: 2025 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT; v. N/A, p. 3-pg., 2025-01-01.
Resumo

Remote Direct Memory Access (RDMA) is a key technology in modern data centers, enabling low-latency and high-throughput communication. However, evaluating RDMA performance and validating network designs often requires costly hardware setups or simulation tools with limited performance and realism. In this work, we present P4DMA, a system that leverages programmable switch ASICs to generate realistic high-performance RDMA traffic. By implementing RDMA traffic patterns using the P4 language, P4DMA enables researchers and practitioners to generate RDMA workloads at line rate, without relying on traditional RDMA NICs (RNICS). With Tofino's traffic generation capacity of up to Tbps, P4DMA offers a novel approach to stress and evaluate RDMA-capable infrastructures, and accelerate the prototyping of new RDMA-based applications. (AU)

Processo FAPESP: 20/05183-0 - SkyNet: rumo à era dos planos de dados inteligentes
Beneficiário:Luciano Paschoal Gaspary
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 24/16207-8 - Repensando Testadores de Redes para Próxima Geração de Redes e Aplicações 5G/6G.
Beneficiário:Filipo Gabert Costa
Modalidade de apoio: Bolsas no Brasil - Mestrado
Processo FAPESP: 21/00199-8 - Redes e serviços inteligentes rumo 2030 (SMARTNESS)
Beneficiário:Christian Rodolfo Esteve Rothenberg
Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada
Processo FAPESP: 23/00794-9 - DigiNet: Rumo à Era das Redes Inteligentes Assistidas por Digital Twin
Beneficiário:Marcelo Caggiani Luizelli
Modalidade de apoio: Auxílio à Pesquisa - Regular