Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hamidreza Khaleghzadeh"'
Publikováno v:
IEEE Access, Vol 11, Pp 27226-27245 (2023)
Accelerating the bi-objective optimization of applications for performance and energy is crucial to achieving energy efficiency objectives and meeting quality-of-service requirements in modern high-performance computing platforms and cloud computing
Externí odkaz:
https://doaj.org/article/aeaaefabb0d34ab4b124a4bb29af02a5
Publikováno v:
IEEE Access, Vol 9, Pp 157670-157680 (2021)
Text clustering is used to extract specific information from textual data and even categorizes text based on topic and sentiment. Due to inherent overlapping in textual documents, overlapping clustering algorithms have become a suitable approach for
Externí odkaz:
https://doaj.org/article/eab1e46741194d2dbf29a5068e5ee23e
Publikováno v:
IEEE Access, Vol 8, Pp 7861-7876 (2020)
Modern HPC platforms are highly heterogeneous with tight integration of multicore CPUs and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or Field-Programmable Gate Arrays) empowering them to address the twin critical concerns of p
Externí odkaz:
https://doaj.org/article/ddc6cb6e90f94ed0b47acaa58c56b086
Publikováno v:
Concurrency and Computation: Practice and Experience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b9b453295a989c586c0d036b3c8034
https://doi.org/10.1002/cpe.7285
https://doi.org/10.1002/cpe.7285
Publikováno v:
Euro-Par 2021: Parallel Processing Workshops ISBN: 9783031061554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7e870b800253a5471cae8e6ffa5df0e
https://doi.org/10.1007/978-3-031-06156-1_14
https://doi.org/10.1007/978-3-031-06156-1_14
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e66d58355579808e2419b6df830460c7
https://doi.org/10.1002/cpe.5928
https://doi.org/10.1002/cpe.5928
Publikováno v:
Euro-Par 2019: Parallel Processing Workshops ISBN: 9783030483395
Euro-Par Workshops
Euro-Par Workshops
Energy is one of the most important objectives for optimization on modern heterogeneous high performance computing (HPC) platforms. The tight integration of multicore CPUs with accelerators in these platforms present several challenges to optimizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::640446c89a7608450bfc6a019eed16eb
https://doi.org/10.1007/978-3-030-48340-1_25
https://doi.org/10.1007/978-3-030-48340-1_25
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 29:2176-2190
Modern HPC platforms have become highly heterogeneous owing to tight integration of multicore CPUs and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or Field-Programmable Gate Arrays) empowering them to maximize the dominant objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::686c764b902997a33ebc18da3eb63dd8
https://doi.org/10.1109/tpds.2018.2827055
https://doi.org/10.1109/tpds.2018.2827055
Publikováno v:
The Journal of Supercomputing. 74:1321-1340
Affinity-aware thread mapping is a method to effectively exploit cache resources in multicore processors. We propose an affinity- and architecture-aware thread mapping technique which maximizes data reuse and minimizes remote communications and cache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085a5af297b6eb0ee86b1f3098992767
https://doi.org/10.1007/s11227-017-2176-6
https://doi.org/10.1007/s11227-017-2176-6
Publikováno v:
The Journal of Supercomputing. 74:551-568
Cloud environments today are increasingly featuring hybrid nodes containing multicore CPU processors and a diverse mix of accelerators such as Graphics Processing Units (GPUs), Intel Xeon Phi co-processors, and Field-Programmable Gate Arrays (FPGAs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d4b5764763c2590f4873bd68b20f49
https://doi.org/10.1007/s11227-017-2141-4
https://doi.org/10.1007/s11227-017-2141-4