Aims and scope

The Journal of Supercomputing publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of all aspects of Supercomputing. Tutorial and survey papers are intended for workers and students in the fields associated with and employing advanced computer systems. The journal also publishes letters to the editor, especially in areas relating to policy, succinct statements of paradoxes, intuitively puzzling results, partial results, and real needs. 

Published theoretical and practical papers are advanced, in-depth treatments describing new developments and new ideas. Each includes an introduction summarizing prior, directly pertinent work that is useful for the reader to understand, in order to appreciate the advances being described.  

Special Issue on SI - Computational and Mathematical Models using Heterogeneous Computing
截稿日期: 2026-09-01

Message-passing programming models such as MPI allowed to aggregate multicore systems in larger clusters, that dominated the TOP 500 supercomputing list. However, at that time parallel computing seemed to face some limits that were hard to overcome. Physical limits prevented clock frequencies to increase, and the Law of Diminishing Returns reduced the usefulness of keep adding cores to a multiprocessor. Suddenly, the advent of GPU computing changed the game once again. Being initially developed as a way to accelerate graphical processing, GPUs were reused to speed up certain types of calculations that needed a similar processing to an entire set of independent elements. CUDA programming model allowed programmers to translate to the GPU world many applications, and the TOP 500 list started to show more and more heterogeneous systems that incorporated accelerators to their cluster nodes.

Today, we are facing a new revolution. The popularization of Deep Learning techniques makes different vendors to add specific support for these kinds of algorithms in the accelerators present in the market. Deep Learning is a world that requires high-performance computing, massive parallelism, and it is causing the development of new heterogeneous architectures.

Is in this context where the symposium on High-Performance Computing at the “Computational and Mathematical Methods in Science and Engineering” conference takes place. Starting in 2000, CMMSE have gathered specialist from all around the globe to discuss recent advances in different topics related to the use of high-performance computing to speed up the execution of mathematical methods. The particular format of the CMMSE conference, with lively discussions in a relaxed atmosphere, allows the presentation of cutting-edge, ongoing work, that receive direct feedback from the audience, thus enriching the research carried out. In an era of big conferences that attract several hundreds of researchers that should compete for the attention of the audience, the CMMSE conference keeps the spirit of specialist meetings, where all the speakers are equally accessible and where interesting discussions are carried out after each presentation.

This special issue of the Journal of Supercomputing will contain revised papers, selected from those presented at the 25th and 26th Computational and Mathematical Methods in Science and Engineering, held in Cadiz in July 2025 and July 2026. The Associated Editors selected around 20% of all the contributions sent to the conference, covering both foundational and practical issues in the use of parallel computing to solve complex applications, for publication in this special issue.

In summary, we believe that the interesting contributions included in this issue are good examples of how the high-performance-computing community works day after day to speed up the performance of different real-world problems, increasing the usefulness of current and future parallel systems and imagining new ways to develop concurrent code.

Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Please note that the authors of selected papers presented at CMMSE 2025 are invited to submit an extended version of their contributions by taking into consideration both the reviewers’ comments on their conference paper, and the feedback received during presentation at the conference. It is worth clarifying that the extended version is expected to contain a substantial scientific contribution, e.g., in the form of new algorithms, experiments or qualitative/quantitative comparisons, and that neither verbatim transfer of large parts of the conference paper nor reproduction of already published figures will be tolerated. The extended versions of CMMSE 2025 papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this special issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor in Chief.