Special Issue on High-Performance eScience key technologies, tools, and applications Submission Date: 2025-03-31 Motivation and Scope

For some time, eScience tools and applications have been first-class citizens in the parallel and distributed computing ecosystem, especially at extreme scales. With the advent of deep learning and foundation models, this trend has been fated to continue. Researchers across various domains leverage advanced computational techniques to analyze vast data, simulate complex systems, and accelerate scientific workflows. Furthermore, when moving from the researcher’s desk to a production-grade pipeline, all parallel and distributed computing algorithms must integrate more or less directly with eScience tools and applications.

The convergence between the modular nature of modern applications and the eScience domain, coupled with diverse hardware configurations, necessitates adaptable workflow systems. These systems must support various execution environments, from traditional High-Performance Computing (HPC) infrastructures to cloud environments and emerging Edge computing platforms. Optimization policies balancing performance and energy efficiency are paramount, alongside the integration of various computational models, including classical and quantum computing paradigms.

This Special Issue aims to provide a platform for researchers from diverse communities to present their latest work on high-performance eScience tools, algorithms, and applications. It fosters collaboration and knowledge exchange among participants from diverse backgrounds, including computer science, computational science, artificial intelligence, domain sciences, and engineering. The audience is encouraged to discuss practical challenges and best practices in developing and deploying high-performance eScience solutions in real-world settings, identifying future research directions and potential areas for innovation in high-performance eScience.

Guest Editors

Iacopo Colonnelli

Department of Computer Science, University of Turin, Torino, Italy

iacopo.colonnelli@unito.it

Paula Fernanda Olaya García

Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA

polaya@vols.utk.edu

Diana Di Luccio

Department of Computer Science, University of Naples Parthenope, Italy

diana.diluccio@uniparthenope.it

Raffaele Montella

Department of Computer Science, University of Naples Parthenope, Italy

raffaele.montella@uniparthenope.it

Important Dates

Submission portal opens: December 2nd, 2024

Deadline for paper submission: March 31st, 2025

Latest acceptance deadline for all papers: October 6th, 2025