Parallel Computing and Applications
This special issue belongs to the section "E: Applied Mathematics".
Special Issue Information
Dear Colleagues,
Currently, parallel computing technologies and high-performance computing are ubiquitous and play a crucial role in data processing. When adapting existing and developing novel data processing methods, researchers and practitioners are faced with issues related to increasing levels of parallelism in computing architectures, software, and algorithms.
This Special Issue aims to publish high-quality, cutting-edge research articles on solutions to challenges in parallel computing and its applications in various domains. The scope of the Special Issue includes (but is not limited to) the parallel and distributed computing technologies on multiprocessor and multicore architectures; application of parallel methods and algorithms in computational mathematics, gas hydrodynamics, and mechanics; parallel algorithms in data mining; parallel methods in machine learning and neural networks, and parallel and distributed database systems.
Prof. Dr. Leonid B. Sokolinsky
Prof. Dr. Mikhail Zymbler
Guest Editors
Manuscript Submission Information
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Keywords
- models of parallel and distributed computations
- emerging multiprocessor and multicore architectures
- models, methods and algorithms for management, administration, monitoring and testing of multiprocessor systems
- parallel methods and algorithms in computational mathematics, gas hydrodynamics, mechanics, etc
- parallel algorithms in data mining
- parallel methods in machine learning and neural networks
- parallel and distributed database systems
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Published Papers
Mathematics - ISSN 2227-7390