Conference Information
PPAM 2022: Internation Conference on Parallel Processing and Applied Mathematics
https://ppam.edu.pl/Submission Date: |
2022-05-20 Extended |
Notification Date: |
2022-06-25 |
Conference Date: |
2022-09-11 |
Location: |
Gdansk, Poland |
Years: |
14 |
Viewed: 8858 Tracked: 3 Attend: 0
Call For Papers
The PPAM 2022 conference, the fourteenth in a series, will cover topics in parallel and distributed computing, including theory and applications, as well as applied mathematics. The focus will be on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including artificial intelligence and machine learning problems. A special attention is expected to be given to the future of computing beyond Moore's Law. PPAM is a biennial conference started in 1994, with the proceedings published by Springer in the Lecture Notes in Computer Sciences series. The PPAM Proceedings are indexed in main databases such as Web of Science, Scopus, and DBLP. Next year the PPAM conference will take place in Gdansk, the thousand-year-old city on the Baltic coast, the hometown of Hevelius, Fahrenheit, Schopenhauer, Grass, and Walesa. The PPAM 2022 conference is organized by the Department of Computer Science of the Czestochowa University of Technology together with the Gdansk University of Technology, under the patronage of the Committee of Informatics of the Polish Academy of Sciences. Topics of interest include, but are not limited to: Parallel/distributed architectures, enabling technologies Quantum computing and communication Neuromorphic computing Computing beyond Moore's Law Cluster, cloud, edge and fog computing Multi-core and many-core parallel computing, GPU computing Heterogeneous/hybrid computing and accelerators Parallel/distributed algorithms: numerical and non-numerical Scheduling, mapping, load balancing Performance analysis and prediction Performance issues on various types of parallel systems Auto-tuning and auto-parallelization: methods, tools, and applications Power and energy aspects of computation Parallel/distributed programming Tools and environments for parallel/distributed computing Security and dependability in parallel/distributed environments HPC numerical linear algebra HPC methods of solving differential equations Evolutionary computing, meta-heuristics and neural networks Machine learning, artificial intelligence and HPC HPC interval analysis Applied Computing in mechanics, material processing, biology and medicine, physics, chemistry, business, environmental modeling, etc. Applications of parallel/distributed computing Methods and tools for parallel solution of large-scale problems, including artificial intelligence and machine learning applications
Last updated by Dou Sun in 2022-04-30
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
Information Processing and Management | 6.222 | Elsevier | 0306-4573 | |
b | Information Processing & Management | 7.466 | Elsevier | 0306-4573 |
c | Information Processing Letters | 0.959 | Elsevier | 0020-0190 |
c | Discrete Applied Mathematics | 1.139 | Elsevier | 0166-218X |
Journal of Applied Mathematics | 0.834 | Hindawi | 1110-757X | |
c | Neurocomputing | 5.719 | Elsevier | 0925-2312 |
Journal of Interaction Science | Springer | 2194-0827 | ||
IEEE Transactions on Signal and Information Processing over Networks | 3.153 | IEEE | 2373-776X | |
c | IET Computer Vision | 1.087 | IET | 1350-245X |
Ethics and Information Technology | 0.497 | Springer | 1388-1957 |
Full Name | Impact Factor | Publisher |
---|---|---|
Information Processing and Management | 6.222 | Elsevier |
Information Processing & Management | 7.466 | Elsevier |
Information Processing Letters | 0.959 | Elsevier |
Discrete Applied Mathematics | 1.139 | Elsevier |
Journal of Applied Mathematics | 0.834 | Hindawi |
Neurocomputing | 5.719 | Elsevier |
Journal of Interaction Science | Springer | |
IEEE Transactions on Signal and Information Processing over Networks | 3.153 | IEEE |
IET Computer Vision | 1.087 | IET |
Ethics and Information Technology | 0.497 | Springer |
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