Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Task-based programming models"'
Publikováno v:
Open Research Europe, Vol 2 (2023)
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks. Most of the work done in this field has focused on improving data analytic frameworks by impl
Externí odkaz:
https://doaj.org/article/828c00dc8e224da3be72d91b81ad4851
Publikováno v:
Open Research Europe, Vol 2 (2022)
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks. Most of the work done in this field has focused on improving data analytic frameworks by impl
Externí odkaz:
https://doaj.org/article/64fe5bd34d6a4e19ab6b0d841f96f1c8
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Task-based programming models have enabled the optimized execution of the computation workloads of applications. These programming models can take advantage of large-scale distributed infrastructures by allowing the parallel and distributed execution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768b987b5b4fb3f81f1e47f76886b36f
https://hdl.handle.net/2117/367747
https://hdl.handle.net/2117/367747
Publikováno v:
Open Research Europe
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks. Most of the work done in this field has focused on improving data analytic frameworks by impl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::984b6aeda977ff3568cb069659df65d7
https://doi.org/10.12688/openreseurope.14569.2
https://doi.org/10.12688/openreseurope.14569.2
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks. Most of the work done in this field has focused on improving data analytic frameworks by impl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::21d159e056641959892df15cecc341be
https://zenodo.org/record/6825481
https://zenodo.org/record/6825481
Heterogeneous architectures have become commonplace in modern HPC systems. Eight of the world’s top ten supercomputers have accelerators, and the up-and-coming MareNostrum 5 will feature accelerated partitions. However, programming these heterogene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::16867ef26a92f63a63d2d7218bfa7f60
https://hdl.handle.net/2117/381039
https://hdl.handle.net/2117/381039
Autor:
Gurhem, Jérôme, Petiton, Serge G.
Publikováno v:
Computational Science – ICCS 2020
Task-based paradigm models can be an alternative to MPI. The user defines atomic tasks with a defined input and output with the dependencies between them. Then, the runtime can schedule the tasks and data migrations efficiently over all the available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::109cbcbaea266a20dec88b06d8613d19
http://europepmc.org/articles/PMC7302835
http://europepmc.org/articles/PMC7302835
Autor:
Al-Harthi, Noha, Alomairy, Rabab, Akbudak, Kadir, Chen, Rui, Ltaief, Hatem, Bagci, Hakan, Keyes, David
Publikováno v:
High Performance Computing
We design and develop a new high performance implementation of a fast direct LU-based solver using low-rank approximations on massively parallel systems. The LU factorization is the most time-consuming step in solving systems of linear equations in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::bd541417e527db931784cf0d60e55764
http://europepmc.org/articles/PMC7295352
http://europepmc.org/articles/PMC7295352
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Miquel Vidal, Daniel Jiménez-González, Eduard Ayguadé, Antonio Filgueras, Carlos Alvarez, Xavier Martorell, Jaume Bosch, Jesús Labarta, Juan Miguel de Haro
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
This paper presents the new features of the OmpSs@FPGA framework. OmpSs is a data-flow programming model that supports task nesting and dependencies to target asynchronous parallelism and heterogeneity. OmpSs@FPGA is the extension of the programming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::410fc3f80c5fdba618e2642e937c9163
http://hdl.handle.net/2117/347629
http://hdl.handle.net/2117/347629