Programming languages for data-Intensive HPC applications: A systematic mapping study-Reference-Cited by-同舟云学术

Programming languages for data-Intensive HPC applications: A systematic mapping study

Published:2020-03 Issue: Volume:91 Page:102584
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Amaral Vasco^ORCID,Norberto Beatriz^ORCID,Goulão Miguel,Aldinucci Marco,Benkner Siegfried^ORCID,Bracciali Andrea,Carreira Paulo,Celms Edgars,Correia Luís^ORCID,Grelck Clemens^ORCID,Karatza Helen,Kessler Christoph^ORCID,Kilpatrick Peter^ORCID,Martiniano Hugo^ORCID,Mavridis Ilias,Pllana Sabri^ORCID,Respício Ana,Simão José^ORCID,Veiga Luís^ORCID,Visa Ari

Funder

European Cooperation in Science and Technology

FCT

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference72 articles.

1. Preparing HPC applications for exascale: challenges and recommendations;Abraham,2015

2. M. Aldinucci, M. Danelutto, P. Kilpatrick, M. Torquati, Fastflow: High-Level and Efficient Streaming on Multicore, Wiley-Blackwell, pp. 261–280. doi:10.1002/9781119332015.ch13.

3. M. Aldinucci, M. Drocco, C. Misale, G. Tremblay, Languages for Big Data analysis, Springer International Publishing, Cham. doi:10.1007/978-3-319-63962-8_142-1.

4. OpenCL on shared memory multicore CPUs;Ali,2012

5. V. Amaral, B. Norberto, M. Goulão, M. Aldinucci, S. Benkner, A. Bracciali, P. Carreira, E. Celms, L. Correia, C. Grelck, H. Karatza, C. Kessler, P. Kilpatrick, H. Martiminiano, I. Mavridis, S. Pllana, A. Respício, J. Simão, L. Veiga, Companion data of a systematic mapping study of programming languages for data-intensive HPC applications, 2019, This work results from COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology doi:10.13039/501100000921 doi:10.5281/zenodo.3518367.

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