**CALL FOR PAPERS** The 26th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-2025) (http://www.ieee-tcsc.org/2025/pdsec/) will be held on the 3rd of June 2025 in Milan, Italy, in conjunction with IPDPS 2025. Deadline: PDSEC-2025 deadline: 19 Jan 2025 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. In particular, we will focus on the following topics in parallel and distributed scientific and engineering applications, and not limited to: - Big scientific data - Performance modeling and simulation for the execution of scalable scientific applications on new heterogeneous architectures - Graph analytics with their (scientific) applications - Code modernization methodologies and experiences for adapting the changes in future computing systems - Languages for scientific computing on hybrid systems (e.g. Python, MPI+X where X is OpenMP, OpenCL, CUDA etc.) - Tools and techniques for improving the performance, reliability and resilience of scientific applications - Use cases of enterprise distributed computing technology (such as MapReduce, Data Analytics and Machine-learning tools) in scientific and engineering applications - Scalable parallel and distributed algorithms supporting science and engineering applications - Performance portability across heterogeneous architecture Important Dates: Paper submission due . . . . . . . . . . . . . .January 19, 2025 Notification of Acceptance . . . . . . . . . . . February 26, 2025 Final camera-ready paper . . . . . . . . . . . March 6, 2025 Workshop . . . . . . . . . . . . . . . . . . . . . . . .June 3, 2025 General Chairs Sabine Roller, German Aerospace Center (DLR), Germany George Bosilca, University of Tennessee, USA Program Chairs Raphael Couturier, University of Franche-Comte, France Neda Ebrahimi Pour, German Aerospace Center (DLR), Germany Publicity Chair Jean-Claude Charr, University of Franche-Comte, France Steering Committee Laurence T. Yang (Chair), St. Francis Xavier University, Canada Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Web Chair Jiawei Wang, St. Francis Xavier University, Canada Sincerely, Jean-Claude Charr Associate professor at IUT NFC University of Franche-Comte, France