ISSN:
eISSN:
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- computer and information sciences (Natural sciences)
- physical sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 100 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 100 | Ministry scored journals list 2024 |
2023 | 100 | Ministry Scored Journals List |
2022 | 100 | Ministry Scored Journals List 2019-2022 |
2021 | 100 | Ministry Scored Journals List 2019-2022 |
2020 | 100 | Ministry Scored Journals List 2019-2022 |
2019 | 100 | Ministry Scored Journals List 2019-2022 |
2018 | 25 | A |
2017 | 25 | A |
2016 | 25 | A |
2015 | 25 | A |
2014 | 25 | A |
2013 | 25 | A |
2012 | 20 | A |
2011 | 20 | A |
2010 | 13 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 9.8 |
Year | Points |
---|---|
2023 | 9.8 |
2022 | 8.5 |
2021 | 7.5 |
2020 | 6.1 |
2019 | 5.3 |
2018 | 5.1 |
2017 | 4.8 |
2016 | 4.4 |
2015 | 3.8 |
2014 | 4.1 |
2013 | 4 |
2012 | 3.5 |
2011 | 2.6 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2023
-
Efficient parallel implementation of crowd simulation using a hybrid CPU+GPU high performance computing system
PublicationIn the paper we present a modern efficient parallel OpenMP+CUDA implementation of crowd simulation for hybrid CPU+GPU systems and demonstrate its higher performance over CPU-only and GPU-only implementations for several problem sizes including 10 000, 50 000, 100 000, 500 000 and 1 000 000 agents. We show how performance varies for various tile sizes and what CPU–GPU load balancing settings shall be preferred for various domain...
Year 2017
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MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems
PublicationIn this paper we present a new environment called MERPSYS that allows simulation of parallel application execution time on cluster-based systems. The environment offers a modeling application using the Java language extended with methods representing message passing type communication routines. It also offers a graphical interface for building a system model that incorporates various hardware components such as CPUs, GPUs, interconnects...
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