ISSN:
eISSN:
Publisher:
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- computer and information sciences (Natural sciences)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 20 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 20 | Ministry scored journals list 2024 |
2023 | 20 | Ministry Scored Journals List |
2022 | 40 | Ministry Scored Journals List 2019-2022 |
2021 | 40 | Ministry Scored Journals List 2019-2022 |
2020 | 40 | Ministry Scored Journals List 2019-2022 |
2019 | 40 | Ministry Scored Journals List 2019-2022 |
2018 | 20 | A |
2017 | 20 | A |
2016 | 20 | A |
2015 | 15 | A |
2014 | 20 | A |
2013 | 20 | A |
2012 | 15 | A |
2011 | 15 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2022 | 1.7 |
Year | Points |
---|---|
2022 | 1.7 |
2021 | 1.1 |
2020 | 2 |
2019 | 2.3 |
2018 | 2 |
2017 | 1.2 |
2016 | 0.8 |
2015 | 1.3 |
2014 | 2.1 |
2013 | 3.6 |
2012 | 3.3 |
2011 | 2.8 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2020
-
Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems
PublicationThis paper provides a review of contemporary methodologies and APIs for parallel programming, with representative technologies selected in terms of target system type (shared memory, distributed, and hybrid), communication patterns (one-sided and two-sided), and programming abstraction level. We analyze representatives in terms of many aspects including programming model, languages, supported platforms, license, optimization goals,...
Year 2019
-
Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
PublicationThe paper presents state of the art of energy-aware high-performance computing (HPC), in particular identification and classification of approaches by system and device types, optimization metrics, and energy/power control methods. System types include single device, clusters, grids, and clouds while considered device types include CPUs, GPUs, multiprocessor, and hybrid systems. Optimization goals include various combinations of...
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