Treffer: Improving performance of HPC kernels on FPGAs using high-level resource management
Title:
Improving performance of HPC kernels on FPGAs using high-level resource management
Authors:
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. PM - Programming Models
Publisher Information:
Institute of Electrical and Electronics Engineers (IEEE)
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, Parallel programming (Computer science), Field programmable gate arrays, High performance computing, FPGA, Resource management, Heterogeneous systems, Parallel computing, Programació en paral·lel (Informàtica), Matrius de portes programables per l'usuari, Càlcul intensiu (Informàtica)
Document Type:
Konferenz
conference object
File Description:
1 p.; application/pdf
Language:
English
Relation:
https://ieeexplore.ieee.org/document/10171527; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C22/ES/UPC-COMPUTACION DE ALTAS PRESTACIONES VIII/; http://hdl.handle.net/2117/406355
DOI:
10.1109/FCCM57271.2023.00041
Rights:
Open Access
Accession Number:
edsbas.E3E320B9
Database:
BASE
Weitere Informationen
In state-of-the-art FPGA, especially in chiplet-based devices, place and route has become an important challenge due to an increase in device size and complexity. In the same way, off-chip memory resources have grown in size and number of memory modules. Making efficient use of them has become a difficult task. ; This work is supported by the TEXTAROSSA project G.A. n.956831, as part of the EuroHPC initiative, by the Spanish Government (Grants PCI2021-121964 - TEXTAROSSA, PID2019-107255GB-C21, PID2019-107255GB-C22, MCIN/AEI/10.13039/501100011033, and CEX2021-001148-S), and by Generalitat de Catalunya (2021 SGR 01007). ; Peer Reviewed ; Postprint (author's final draft)