Advances in Parallel Computing and Their Applications

Dear Colleagues, 

Over the past few years, we have witnessed the introduction of parallelism at many levels in computer architectures, with the effect of producing very different parallel computing systems. In addition to the inclusion of an ever-increasing number of processors, parallelism can be found in many different aspects of architecture. Low-level parallelism aspects are, among others, the introduction of the pipeline, both in instruction and arithmetic operation execution, as well as the vectorized execution of arithmetic operations, also through unconventional number representations. On the other hand, among high-level parallelism aspects, we can mention the adoption of a rich and sophisticated memory hierarchy, and various topologies for the interconnection network realising the communication in large-scale multiprocessor systems. 

True parallel computing consists of a set of tasks requiring a non-negligible amount of communication, executed in a collaborative fashion on one application. The main target of parallel computing is scientific applications, and many large-scale scientific applications refer to problems that are modeled as linear systems, often based on sparse matrices, and exploiting linear algebra methods.

This Special Issue of Mathematics is devoted to topics in parallel computing, including theory and applications, as well as applied mathematics. The focus will be on techniques to introduce parallelism at different levels, as well as on applications involving parallel solvers in linear algebra, with emphasis on sparse matrices.

Prof. Dr. Annalisa Massini
Prof. Dr. Marco Danelutto
Guest EditorS

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