ARCS 2024

37th GI/ITG International Conference on Architecture of Computing Systems
May 14-16, 2024, Potsdam, Germany
https://arcs-conference.org

The ARCS conferences series has over 36 years of tradition reporting
leading edge research in computer architecture and operating systems.

High performance computing represents an important tool for tackling
climate change. In many other HPC application fields, the need for
more high computing power has increased enormously in recent years,
especially due to the high demand of AI-specific workloads. The
operation of correspondingly powerful computing systems therefore
represents an increasing problem in terms of energy requirements and
the associated CO2 emissions. HPC is therefore not only part of the
solution to tackling climate change, but also part of the overall
problem.

Heterogeneous computer architectures promise a significant increase
in the energy efficiency of HPC systems. The selection of different
accelerator architectures can contribute significantly to increasing
efficiency, but there is currently a lack of appropriate concepts
for their seamless and scalable integration, as well as the support
through appropriate programming models.

The focus of the ARCS’24 conference will be on novel accelerator
architectures, which are suited for the integration into HPC systems.
This includes fine and coarse grain reconfigurable architectures as
well as new ideas for their integration to achieve higher energy
efficiency as typical homogeneous architectures. In addition, the
topics cover HPC-specific research at the level of computer architec-
tures, runtime and operating systems, design tools and HPC programming
models and algorithms.

In addition to the main conference, ARCS will host special tracks on
Organic Computing and Dependability and Fault Tolerance.

The registration is open! See you in Potsdam!
https://arcs-conference.org/registration
https://arcs-conference.org/local-arrangements

Full program can be found at https://arcs-conference.org/program

– General Chairs
Dietmar Fey, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Benno Stabernack, Universität Potsdam / Fraunhofer Heinrich Hertz Institut