ISSN:
1064-8275
eISSN:
1095-7197
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- computer and information sciences (Natural sciences)
- mathematics (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 140 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 140 | Ministry scored journals list 2024 |
2023 | 140 | Ministry Scored Journals List |
2022 | 140 | Ministry Scored Journals List 2019-2022 |
2021 | 140 | Ministry Scored Journals List 2019-2022 |
2020 | 140 | Ministry Scored Journals List 2019-2022 |
2019 | 140 | Ministry Scored Journals List 2019-2022 |
2018 | 45 | A |
2017 | 45 | A |
2016 | 45 | A |
2015 | 45 | A |
2014 | 45 | A |
2013 | 45 | A |
2012 | 45 | A |
2011 | 45 | A |
2010 | 32 | A |
Model:
Hybrid
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 5.5 |
Year | Points |
---|---|
2023 | 5.5 |
2022 | 5.1 |
2021 | 4.7 |
2020 | 3.8 |
2019 | 4.2 |
2018 | 4.4 |
2017 | 4.4 |
2016 | 3.8 |
2015 | 3.5 |
2014 | 3.8 |
2013 | 3.7 |
2012 | 3.1 |
2011 | 3 |
Impact Factor:
Log in to see the Impact Factor.
Sherpa Romeo:
Papers published in journal
Filters
total: 1
Catalog Journals
Year 2015
-
A Task-Scheduling Approach for Efficient Sparse Symmetric Matrix-Vector Multiplication on a GPU
PublicationIn this paper, a task-scheduling approach to efficiently calculating sparse symmetric matrix-vector products and designed to run on Graphics Processing Units (GPUs) is presented. The main premise is that, for many sparse symmetric matrices occurring in common applications, it is possible to obtain significant reductions in memory usage and improvements in performance when the matrix is prepared in certain ways prior to computation....
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