FOCUS AND SCOPE

Azerbaijan Journal of  High Performance Computing publishes articles that include the latest scientific and research findings in the field of knowledge edges or industrial activities in  High Performance Computing Systems after two blind reviews and other related operations related to the referee process. The main goal of this journal is to publish up-to-date articles in the field of solving challenges associated with the management of High Performance Computing Systems and their applications in various industrial areas. Besides the publication of articles by international authors, this journal publishes articles about the research of local authors, taking into account that ADNSU (in English as ASOIU) is the hub of High Performance Computing Systems in the Republic of Azerbaijan. The university's policies for the past five years have been a presence in the Republic of Azerbaijan and international projects, especially the projects of the European Union and publication of the results of the mentioned projects along with conventional articles. During the next five years, this university will try, in addition, to publish conventional articles, to publish articles on the applications of High Performance Computing Systems and Exascale Computing Systems. This policy makes it possible to, together with the mentioned items publish articles related to all aspects of High Performance Computing Systems (Supercomputer, Cluster Computing, Peer Peer Computing, Grid, and Cloud  Computing, Fog, Edge Computing, IoT Computing, and Exascale computing systems) in the following areas:

  • Technology, innovation and new concepts;
  • Architecture, systems, and frameworks for managing High Performance Computing Systems and Exascale Computing Systems or applying said systems in scientific and industrial fields;
  • Algorithms, systematic approaches, languages, programs, and paradigms in the field of distributed and parallel computing;
  • Criteria and methods for evaluating the performance of computing systems or the application of computing systems in various scientific fields;
  • Simulation and emulation, data analysis;
  • Application and system software for Scientific Computing and Big Data management.

We are pleased to announce that, starting from 2025, the scope of our journal has been expanded to include emerging research topics at the intersection of High Performance Computing (HPC) and Artificial Intelligence (AI) / Machine Learning (ML).

In addition to our existing focus areas, we now welcome original research, surveys, and case studies in the following new domains:

  • Scalable and distributed machine learning on HPC platforms

  • AI for scientific discovery and industrial applications

  • Edge and Fog AI computing

  • AI-enhanced simulation, modeling, and big data analytics

  • Trustworthy and explainable AI in large-scale systems

  • Neuromorphic, quantum-inspired, and hardware-efficient AI

  • Integration of AI/ML techniques with distributed computing infrastructures

These additions reflect the growing importance of intelligent systems in high-performance and scientific computing environments. We invite researchers and practitioners working in these interdisciplinary areas to submit their high-quality contributions.

This journal provides instant and open access to content. We hope you find this journal timely, engaging, and informative. We welcome your contributions and suggestions to this journal. We hope that AzJHPC will be an ideal place for publishing your following exciting results.