Zobrazeno 1 - 10
of 43
pro vyhledávání: '"OmpSs-2"'
Autor:
David Alvarez, Vicenc Beltran
Publikováno v:
IEEE Access, Vol 11, Pp 51971-51984 (2023)
Data-flow programming models have become a popular choice for writing parallel applications as an alternative to traditional work-sharing parallelism. They are better suited to write applications with irregular parallelism that can present load imbal
Externí odkaz:
https://doaj.org/article/2733358dd8db41d1ad33688700f61b55
Publikováno v:
The Journal of Supercomputing.
Processors with multiple sockets or chiplets are becoming more conventional. These kinds of processors usually expose a single shared address space. However, due to hardware restrictions, they adopt a NUMA approach, where each processor accesses loca
Autor:
Aguilar Mena, Jimmy
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
A la portada logo BSC (English) The dominant programming approach for scientific and industrial computing on clusters is MPI+X. While there are a variety of approaches within the node, denoted by the ``X'', Message Passing interface (MPI) is the stan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::22f5d95d31920d2258be6b1aff990697
https://hdl.handle.net/2117/38081410803/687393
https://hdl.handle.net/2117/38081410803/687393
Autor:
Ali, Omar Shaaban Ibrahim, Aguilar Mena, Jimmy, Beltran Querol, Vicenç, Carpenter, Paul Matthew, Ayguadé Parra, Eduard, Labarta Mancho, Jesús José
Publikováno v:
2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).
Task-based programming is a high performance and productive model to express parallelism. Tasks encapsulate work to be executed across multiple cores or offloaded to GPUs, FPGAs, other accelerators or other nodes. In order to maintain parallelism and
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
50th International Conference on Parallel Processing
ICPP
Universitat Politècnica de Catalunya (UPC)
50th International Conference on Parallel Processing
ICPP
Being on the verge of exascale performance has shifted the prioritization of performance in applications to the inclusion of power-performance efficiency as a primary objective in the High Performance Computing (HPC) community. Simultaneously, this h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa5b0b58ec34286c971482eb47c667a
Autor:
Álvarez Robert, David
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f0306eecf9c301a976eb415bf939efaf
http://hdl.handle.net/2117/356914
http://hdl.handle.net/2117/356914
Autor:
Korakitis, Orestis
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Current trends in High Performance Computing suggest a significant shift towards heterogeneous architectures, utilising GPUs and other accelerators for their combination of computation capacity and power efficiency. Therefore, programming heterogeneo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::601a84da73dee3bfe87864ff8afd11d2
https://hdl.handle.net/2117/335903
https://hdl.handle.net/2117/335903
Autor:
Cano Díaz, Rubén
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
HPC machines in the race for exascale computing are more heterogeneous than ever. The complexity of the systems makes the programming and interoperability of the multiple accelerators a huge task that most of the times the programmer must handle dire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c50fc9c2645d6e5d690b988f62b14b7f
https://hdl.handle.net/2117/334936
https://hdl.handle.net/2117/334936