High-Speed Computing and Parallel Algorithms
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 989
Special Issue Editor
Interests: high-speed computing and parallel algorithms; computational linear algebra; numerical methods for partial differential equations
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. Parallelism, the capability of a computer to execute operations concurrently, has been a constant throughout the history of computing. It impacts hardware, software, theory, and applications. Supercomputers owe their performance advantage to parallelism. Today, physical limitations have forced the adoption of parallelism as the preeminent strategy of computer manufacturers for performance gains of all classes of machines, from embedded and mobile systems to the most powerful servers. Parallelism is crucial for many applications in the sciences and engineering.
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.
Topics of interest include but are not limited to:
- Parallel/distributed architectures, enabling technologies;
- Quantum computing and communication;
- Cluster, cloud, edge, and fog computing;
- Multi-core and many-core parallel computing, GPU computing;
- Heterogeneous/hybrid computing and accelerators;
- Parallel/distributed algorithms;
- Performance analysis;
- Performance issues on various types of parallel systems;
- Auto-tuning and auto-parallelization: methods, tools, and applications;
- Parallel/distributed programming;
- Tools and environments for parallel/distributed computing;
- HPC numerical linear algebra;
- HPC methods of solving differential equations;
- Applications of parallel/distributed computing;
- Methods and tools for the parallel solution of large-scale problems.
Dr. Ivan Lirkov
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- parallel computing
- GPU computing
- parallelization on HPC platforms
- performance analysis
- multi-/many-core platforms
- cache management
