[hpc-announce] Call for Papers, PDSEC-2024 Workshop, May 2024 - deadline extended to the 10th of February 2024

[Jean-Claude Charr]

**CALL FOR PAPERS**

The 25th IEEE International Workshop on Parallel and Distributed
Scientific and Engineering Computing (PDSEC-2024) (http://www.ieee-
tcsc.org/2024/pdsec/) will be held on May 31, 2024 in San Francisco,
California, USA, in conjunction with IPDPS 2024.

Deadline extension:
PDSEC-2024 new submission deadline: 10 Feb 2024 (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 . . . . . . . . . . . . . . February 10, 2024
Notification of Acceptance . . . . . . . . . . February 23, 2024
Final camera-ready paper . . . . . . . . . . . .February 29, 2024
Workshop . . . . . . . . . . . . . . . . . . . . . . . . May 31, 2024

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