[CFP] FGCS SI: Leveraging Cutting-Edge High Performance Computing for Large-Scale Applications

[Carla Osthoff]

                               ** FGCS’S SPECIAL ISSUE **

  LEVERAGING CUTTING-EDGE HIGH PERFORMANCE COMPUTING FOR LARGE-SCALE
APPLICATIONS

  Submission deadline: 30 September 2025


_https://www.sciencedirect.com/special-issue/321306/leveraging-cutting-edge-high-performance-computing-for-large-scale-applications_

  Future Generation Computer Systems | ScienceDirect.com by Elsevier -
Future Generation Computer Systems | ScienceDirect.com by Elsevier [1]
  Motivation and Scope High Performance Computing (HPC) recently entered
into the exascale era, marking an important milestone of its history.
High-end supercomputers and clusters with remarkable level of
performance are now commonly available for standard and specific
computational needs, thereby increasing the focus on HPC and related
topics. Leveraging the potential of large-scale ...
  www.sciencedirect.com

  Motivation and Scope

  High Performance Computing (HPC) recently entered into the exascale
era, marking an important milestone of its history. High-end
supercomputers and clusters with remarkable level of performance are now
commonly available for standard and specific computational needs,
thereby increasing the focus on HPC and related topics. Leveraging the
potential of large-scale supercomputers is an HPC skillful task that
requires in-depth knowledge on both hardware and software. Indeed, the
architectural structure of cutting-edge HPC processors is rather
complex, with each feature provided by a specialized mechanism, the
processing overhead of which can turn out to be an efficiency
bottleneck. This challenge becomes more pronounced as the potential
processing power of the machine increases. For example, at the compute
node level, processors with many cores might have a NUMA architecture, a
deeper memory hierarchy and/or wide SIMD capabilities. At the
interprocessor level, hardware support for data exchanges can also
significantly increase running time. There is a wide range of
applications that genuinely need a whooping computing speed, one of them
being the training of large-scale AI models. The evolution of HPC
appears closely tied to the growing demand for speed from such
large-scale applications. As a result, the implementation of
cutting-edge techniques should remain scalable on large-scale machines.
Achieving this level of efficiency is challenging but highly sought
after by HPC community, including end-users.

  This special issue aims at addressing the aforementioned technical
context and scientific challenges, thus expecting to gather insightful
contributions on how to leverage the increasing potential of HPC systems
for cutting-edge applications. We invited various types of submissions:
research papers (fundamental and experimental), position papers,
extended version of conference papers, and surveys. Papers are solicited
on a broad range of topics including (but not limited to):

        * Scalability with large-scale parallel machines (issues, limits,
methods, applications)
        * Efficiency with large clusters of accelerators (e.g. FPGAs, GPUs, AI
accelerators)
        * Parallel algorithms and scheduling for heterogeneous and/or
hierarchical systems
        * Fault-tolerance for large-scale HPC systems
        * Models and tools for performance/energy evaluation on large-scale HPC
systems
        * Power consumption and carbon footprint of large-scale HPC solutions
        * Applications that need cutting-edge HPC
        * Combinatorial optimization from the exascale standpoint
        * AI in the exascale era
        * Large-scale Cloud systems
        * Quantum computing (efficiency perspectives)
        * Integrating Classical and Quantum Computing

--

--
Claude Tadonki
Senior Researcher - High Performance Computing
Centre de Recherche en Informatique (CRI - Fontainebleau)
MINES ParisTech - PSL Research University
Tel:  +33 (0)1 64 69 48 36
Fax: +33 (0)1 64 69 48 47
Personal web page: http://www.cri.ensmp.fr/~tadonki/ [2]



Links:
------
[1]
https://www.sciencedirect.com/special-issue/321306/leveraging-cutting-edge-high-performance-computing-for-large-scale-applications
[2] http://www.cri.ensmp.fr/~tadonki/