Special Issue on High‐end Heterogeneous Architectures, Methodologies, and Algorithms (HHAMA20)
作者： Sokol Kosta , Giuliano Laccetti , Marco Lapegna , Valeria Mele , Raffaele Montella
DOI: 10.1002/CPE.6108
关键词: Distributed computing 、 Computer science
摘要:
sci-hub.st 参考文章(11)
Giuliano Laccetti, Ian Foster, Marco Lapegna, Paul Messina, Raffaele Montella, Almerico Murli, Guest Editorial for Hybrid Parallelism in New HPC Systems International Journal of Parallel Programming. ,vol. 45, pp. 1021- 1025 ,(2017) , 10.1007/S10766-016-0465-Y
Giuliano Laccetti, Marco Lapegna, Raffaele Montella, Sokol Kosta, Models, algorithms, and tools for highly heterogeneous computing environments: Models, Algorithms, and Tools for Highly Heterogeneous Computing Environments Concurrency and Computation: Practice and Experience. ,vol. 30, ,(2018) , 10.1002/CPE.4950
Jake Choi, Hojun You, Chongam Kim, Heon Young Yeom, Yoonhee Kim, Comparing unified, pinned, and host/device memory allocations for memory‐intensive workloads on Tegra SoC Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.6018
Kenneth K. Azumah, Lene T. Sørensen, Raffaele Montella, Sokol Kosta, Process mining‐constrained scheduling in the hybrid cloud Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.6025
Ivan Lirkov, Stanislav Harizanov, Marcin Paprzycki, Maria Ganzha, Performance analysis of parallel high‐resolution image restoration algorithms on Intel supercomputer Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.5996
Diana Di Luccio, Sokol Kosta, Aniello Castiglione, Antonio Maratea, Raffaele Montella, Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.5988
Carlos AC Jorge, Alexandre S Nery, Alba CMA Melo, Alfredo Goldman, None, A CPU-FPGA heterogeneous approach for biological sequence comparison using high-level synthesis Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.6007
Luisa Carracciuolo, Valeria Mele, Lukasz Szustak, About the granularity portability of block‐based Krylov methods in heterogeneous computing environments Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.6008
Luisa D'Amore, Rosalba Cacciapuoti, Valeria Mele, A scalable Kalman filter algorithm: Trustworthy analysis on constrained least square model Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.6022
Kamil Halbiniak, Lukasz Szustak, Tomasz Olas, Roman Wyrzykowski, Pawel Gepner, Exploration of OpenCL Heterogeneous Programming for Porting Solidification Modeling to CPU‐GPU Platforms Concurrency and Computation: Practice and Experience. ,vol. 33, ,(2021) , 10.1002/CPE.6011