[hpc-announce] Call for Papers, PDSEC-2025 Workshop, 3rd of June 2025 - Milan, Italy

[Jean-Claude Charr]

**CALL FOR PAPERS**

The 26th IEEE International Workshop on Parallel and Distributed
Scientific and Engineering Computing (PDSEC-2025) (https://urldefense.us/v3/__http://www.ieee-tcsc.org/2025/pdsec/__;!!G_uCfscf7eWS!dUaITEzjbr6rNBffD0Pn6Rmq-miY4IKg3-4b-VDD-CPLEadA26_IN-phqqu0Q5-DF9f_aDnLftkxmV0CZ0TDUQYIp4DVl9Jxwq4sS0VA$ ) 
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
Kevin Huck, University of Oregon, 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