Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F19%3A10242820" target="_blank" >RIV/61989100:27740/19:10242820 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/doi/pdf/10.1145/3295500.3356201" target="_blank" >https://dl.acm.org/doi/pdf/10.1145/3295500.3356201</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3295500.3356201" target="_blank" >10.1145/3295500.3356201</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware

Popis výsledku v původním jazyce

Distributed memory programming is the established paradigm used for high-performance computing (HPC) systems, requiring explicit communication between nodes and devices. When FPGAs are deployed in a distributed setting, communication is typically handled either by going through the host machine, thereby sacrificing performance; or by streaming between devices across fixed point-to-point connections, sacrificing flexibility. We present Streaming Message Interface (SMI), a communication model and API that unifies explicit message passing with a hardware-oriented programming model, facilitating minimal-overhead, flexible, and productive inter-FPGA communication. SMI utilizes a dedicated FPGA interconnect with runtime-configurable routing, and supports arbitrary network topologies. Messages are streamed over the network during computation, allowing communication to be easily integrated into pipelined designs. We provide a high-level synthesis implementation of SMI, and use it to implement a set of distributed memory applications. Using SMI, programmers can implement distributed, scalable HPC programs, without deviating from best practices for hardware design.

Název v anglickém jazyce

Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware

Popis výsledku anglicky

Distributed memory programming is the established paradigm used for high-performance computing (HPC) systems, requiring explicit communication between nodes and devices. When FPGAs are deployed in a distributed setting, communication is typically handled either by going through the host machine, thereby sacrificing performance; or by streaming between devices across fixed point-to-point connections, sacrificing flexibility. We present Streaming Message Interface (SMI), a communication model and API that unifies explicit message passing with a hardware-oriented programming model, facilitating minimal-overhead, flexible, and productive inter-FPGA communication. SMI utilizes a dedicated FPGA interconnect with runtime-configurable routing, and supports arbitrary network topologies. Messages are streamed over the network during computation, allowing communication to be easily integrated into pipelined designs. We provide a high-level synthesis implementation of SMI, and use it to implement a set of distributed memory applications. Using SMI, programmers can implement distributed, scalable HPC programs, without deviating from best practices for hardware design.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_027%2F0008463" target="_blank" >EF16_027/0008463: Věda bez hranic</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference for High Performance Computing, Networking, Storage and Analysis, SC

ISBN

978-1-4503-6229-0

ISSN

2167-4329

e-ISSN

—

Počet stran výsledku

33

Strana od-do

33

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Denver

Datum konání akce

17. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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