Zobrazeno 1 - 10
of 854
pro vyhledávání: '"Global address space"'
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-21 (2021)
Abstract With the development of peta- and exascale size computational systems there is growing interest in running Big Data and Artificial Intelligence (AI) applications on them. Big Data and AI applications are implemented in Java, Scala, Python an
Externí odkaz:
https://doaj.org/article/f7366bb69e344936853189fa95deea9e
Autor:
Marek Nowicki
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-28 (2020)
Abstract Sorting algorithms are among the most commonly used algorithms in computer science and modern software. Having efficient implementation of sorting is necessary for a wide spectrum of scientific applications. This paper describes the sorting
Externí odkaz:
https://doaj.org/article/c402c7659ae948fe94f997dd64d1cee4
Publikováno v:
Journal of Nepal Geological Society. 62:34-46
On September 8, 2017, an earthquake of Mj 5.2 occurred with the epicenter in southern Akita Prefecture, Japan, at 22:23 local time. According to the Japan Meteorological Agency (JMA), the focal depth was 9 km. Many strong-motion stations of K-NET and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510e08947b61014a4aa0e8c29559751f
https://doi.org/10.3126/jngs.v62i0.38692
https://doi.org/10.3126/jngs.v62i0.38692
Autor:
Karl Fürlinger, Pascal Jungblut
Publikováno v:
International Journal of Parallel Programming. 49:867-885
The Partitioned Global Address Space (PGAS) programming model brings intuitive shared memory semantics to distributed memory systems. Even with an abstract and unifying virtual global address space it is, however, challenging to use the full potentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6e3b904f08d493175f539b0cb09cfd5
https://doi.org/10.1007/s10766-021-00718-x
https://doi.org/10.1007/s10766-021-00718-x
Autor:
Basilio B. Fraguela, Diego Andrade
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
[Abstract]: Dataflow computing is a very attractive paradigm for high-performance computing, given its ability to trigger computations as soon as their inputs are available. UPC++ DepSpawn is a novel task-based library that supports this model in hyb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31ba0b8ac44e3d1af9bf12f090bc30a1
https://doi.org/10.1007/s11227-020-03607-1
https://doi.org/10.1007/s11227-020-03607-1
Autor:
Chung-Hsing Hsu, Neena Imam
Publikováno v:
International Journal of Networking and Computing. 11:78-101
High Performance Computing has been a driving force behind important tasks such as scientific discovery and deep learning. It tends to achieve performance through greater concurrency and heterogeneity, where the underlying complexity of richer topolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82254ef385dc884bb2b6e8dfd75b9bbc
https://doi.org/10.15803/ijnc.11.1_78
https://doi.org/10.15803/ijnc.11.1_78
Publikováno v:
Journal of Global Optimization. 79:853-883
The $\ell_p$ regularization problem with $0< p< 1$ has been widely studied for finding sparse solutions of linear inverse problems and gained successful applications in various mathematics and applied science fields. The proximal gradient algorithm i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e32f0c1380746a54568c17c3c2af21e
https://doi.org/10.1007/s10898-020-00955-3
https://doi.org/10.1007/s10898-020-00955-3
Publikováno v:
ACM Transactions on Parallel Computing. 7:1-25
Languages and libraries based on Partitioned Global Address Space (PGAS) programming models are convenient for exploiting scalable parallelism on large applications across different domains with irregular memory access patterns. OpenSHMEM is a PGAS-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98db6d64d1f0ae4e19c13f3fe52bc7ed
https://doi.org/10.1145/3418084
https://doi.org/10.1145/3418084
Autor:
Tomohiro Harada, Enrique Alba
Publikováno v:
ACM Computing Surveys. 53:1-39
In this article, we encompass an analysis of the recent advances in parallel genetic algorithms (PGAs). We have selected these algorithms because of the deep interest in many research fields for techniques that can face complex applications where run
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::168a4cfb02a62f55c8a07010900f3de3
https://doi.org/10.1145/3400031
https://doi.org/10.1145/3400031
Autor:
Lars Bjørlykke Kristiansen, Halvor Kielland-Gyrud, Håkon Kvale Stensland, Jonas Markussen, Pål Halvorsen, Carsten Griwodz
Publikováno v:
ACM Transactions on Computer Systems
The large variety of compute-heavy and data-driven applications accelerate the need for a distributed I/O solution that enables cost-effective scaling of resources between networked hosts. For example, in a cluster system, different machines may have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5425ddf5bb249c6103c3743926e1aba2
https://doi.org/10.1145/3462545
https://doi.org/10.1145/3462545