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

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Laboratory Ref. UID/ CEC/ 04516/ 2019); INESC-ID Ref....

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Bibliographic Details
Main Author: Amaral, Vasco (author)
Other Authors: Norberto, Beatriz (author), Goulão, Miguel (author), Aldinucci, Marco (author), Benkner, Siegfried (author), Bracciali, Andrea (author), Carreira, Paulo (author), Celms, Edgars (author), Correia, Luís (author), Grelck, Clemens (author), Karatza, Helen (author), Kessler, Christoph (author), Kilpatrick, Peter (author), Martiniano, Hugo (author), Mavridis, Ilias (author), Pllana, Sabri (author), Respício, Ana (author), Simão, José (author), Veiga, Luís (author), Visa, Ari (author)
Format: article
Language:eng
Published: 2022
Subjects:
Big data
Data-intensive applications
Domain-Specific language (DSL)
General-Purpose language (GPL)
High performance computing (HPC)
Programming languages
Systematic mapping study (SMS)
Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications
Computer Graphics and Computer-Aided Design
Artificial Intelligence
Online Access:http://hdl.handle.net/10362/132902
Country:Portugal
Oai:oai:run.unl.pt:10362/132902

Internet

http://hdl.handle.net/10362/132902

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