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Embedded multicore computing and applications
Author(s) -
Magoulès Frédéric,
Hung CheLun,
Jiang Hai,
Hu Jia
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3910
Subject(s) - multi core processor , computer science , cuda , software , field (mathematics) , set (abstract data type) , computer architecture , parallel computing , supercomputer , operating system , programming language , mathematics , pure mathematics
In the past few years, multicore and many core systems have been utilized to accelerate the research domains, including image processing, molecular dynamics, astrophysics, financial simulation, computer tomography, quantum chemistry, bioinformatics, and many others. Similarly, many programming models, such as OpenMP, OpenCL, and CUDA, have been released to aid programmers to develop a parallel computing application by launching the cores or threads in parallel. To efficiently launch cores or threads, software framework plays an important role to make cores or threads collaborate with each other. Also, an efficient parallel algorithm can help to improve the performance of applications, especially real-time applications. Many successful applications with multicore and many core systems through these parallel algorithms have unveiled many scientific results, which encourage application developers to adopt novel multicore and many core system computing technologies. This journal contains 10 papers, each paper covering one particular application and methodology. All of these papers not only provide novel ideas and state of-the-art technologies in the field but also stimulate future research for multicore computing and their applications.