• Vector extensions in COTS proc...

Treffer: Vector extensions in COTS processors to increase guaranteed performance in real-time systems

Title:
Vector extensions in COTS processors to increase guaranteed performance in real-time systems
Authors:
Pujol Torramorell, Roger, Jorba Jorba, Josep, Tabani, Hamid, Kosmidis, Leonidas, Mezzetti, Enrico, Abella Ferrer, Jaume, Cazorla Almeida, Francisco Javier
Contributors:
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. ARCO - Microarquitectura i Compiladors, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
Publication Year:
2023
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Embedded computer systems, Real-time data processing, Parallel programming (Computer science), Vector extensions, Real-time, Embedded systems, Ordinadors immersos, Sistemes d', Temps real (Informàtica), Programació en paral·lel (Informàtica)
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
26 p.; application/pdf
Language:
English
Relation:
info:eu-repo/grantAgreement/EC/H2020/772773/EU/Sustainable Performance for High-Performance Embedded Computing Systems/SuPerCom; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C21/ES/BSC - COMPUTACION DE ALTAS PRESTACIONES VIII/; http://hdl.handle.net/2117/373908
DOI:
10.1145/3561054
Availability:
http://hdl.handle.net/2117/373908
https://doi.org/10.1145/3561054
Rights:
Open Access
Accession Number:
edsbas.7549310D
Database:
BASE

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The need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future high-integrity embedded products are multi-processors systems-on-chip (MPSoC) processors. MPSoCs include CPU multicores that enable improving performance via thread-level parallelism. MPSoCs also include generic accelerators (GPUs) and application-specific accelerators. However, the data processing approach (DPA) required to exploit each of these underlying parallel hardware blocks carries several open challenges to enable the safe deployment in high-integrity domains. The main challenges include the qualification of its associated runtime system and the difficulties in analyzing programs deploying the DPA with out-of-the-box timing analysis and code coverage tools. In this work, we perform a thorough analysis of vector extensions (VExt) in current COTS processors for high-integrity systems. We show that VExt prevent many of the challenges arising with parallel programming models and GPUs. Unlike other DPAs, VExt require no runtime support, prevent by design race conditions that might arise with parallel programming models, and have minimum impact on the software ecosystem enabling the use of existing code coverage and timing analysis tools. We develop vectorized versions of neural network kernels and show that the NVIDIA Xavier VExt provide a reasonable increase in guaranteed application performance of up to 2.7x. Our analysis contends that VExt are the DPA approach with arguably the fastest path for adoption in high-integrity systems. ; This work has received funding from the the European Research Council (ERC) grant agreement No. 772773 (SuPerCom) and the Spanish Ministry of Science and Innovation (AEI/10.13039/501100011033) under grants PID2019-107255GB-C21 and IJC2020-045931-I. ; Peer Reviewed ; Postprint (author's final draft)