Parallel and Distributed Computing: Algorithms and Applications

Dear Colleagues,

It is an undeniable fact that parallel and distributed computing is ubiquitous now in nearly all computational scenarios ranging from mainstream computing to high-performance and/or distributed architectures such as cloud architectures and supercomputers. The ever-increasing complexity of parallel/distributed systems requires effective algorithmic techniques for unleashing the enormous computational power of these systems and attaining the promising performance of parallel/distributed computing. Moreover, the new possibilities offered by the high-performance systems pave the way to a new genre of applications that were considered as far-fetched a short while ago.

This Topical Collection is focused on all algorithmic aspects of parallel and distributed computing and applications. Essentially, every scenario where multiple operations or tasks are executed at the same time is within the scope of this Topical Collection. Topics of interest include (but are not limited to) the following:

• Theoretical aspects of parallel and distributed computing;
• Design and analysis of parallel and distributed algorithms;
• Algorithm engineering in parallel and distributed computing;
• Load balancing and scheduling techniques;
• Green computing;
• Algorithms and applications for big data, machine learning and artificial intelligence;
• Game-theoretic approaches in parallel and distributed computing;
• Algorithms and applications on GPUs and multicore or manycore platforms;
• Cloud computing, edge/fog computing, IoT and distributed computing;
• Scientific computing;
• Simulation and visualization;
• Graph and irregular applications.

Dr. Charalampos Konstantopoulos
Prof. Dr. Grammati Pantziou
Collection Editors

Manuscript Submission Information

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