[hpc-announce] ARCS 2025 CfP - Deadline Extension

[Mathias Pacher]

=========================================================================
          C A L L   F O R   P A P E R S   --   A R C S   2 0 2 5
38th GI/ITG International Conference on Architecture of Computing Systems
                     April 22-24, 2025, Kiel, Germany
                        https://urldefense.us/v3/__https://arcs-conference.org__;!!G_uCfscf7eWS!dVHBWhACC1cNo-5MhcXb5yUvg1_IolNmi8Z-brgMUv5sj8Zh65uujgsesRNFXVE4n0kyihPTv6e7-sItubnkj_PfHEIm8k3HJUQ$ 
=========================================================================

THIS YEAR'S FOCUS:  *Mastering novel HPC chip architectures*

=========================================================================
Paper submission deadline (extended): February 9, 2025

The ARCS conferences series has over 37 years of tradition reporting
leading edge research in computer architecture and operating systems.

New chips for high-performance computing (HPC) are being developed in 
and outside Europe
(e.g. ARM processors for HPC, RISC-V chips, special purpose ASIC 
designs, etc.) and even
disruptive technologies such as QPU accelerators are being connected to 
HPC systems.
New chips are designed either as general purpose devices with a wide 
user portfolio in mind,
or target the needs of specific applications (e.g. machine learning 
pipelines or deep learning
workloads, mobile or embedded systems). Accordingly, they might rely on 
well established
architectural approaches (CPU-like, vector-extensions), or bring 
completely new disruptive
ideas, always with the aim of limiting energy consumption. When these 
are integrated in HPC systems,
the overall system design becomes more and more heterogeneous.

These increasingly complex architectures require optimizations in 
application code to
exploit the full performance potential. There are standard optimization 
strategies
that can be implemented specifically for certain architectures, and 
there may also
be optimization rules that are totally specific to an accelerator or a 
hybrid
processor-accelerator architecture. Porting HPC code to new architectures is
an important challenge: it is desirable to achieve performance without 
having
to redesign the whole code, or at least to be able to follow standard 
optimization rules.

The ARCS'25 conference welcomes all contributions on hardware 
architectures, as well as
their programming models, software stacks (operating systems, 
compilers...), their insertion
into computing systems, and the challenges to port optimized code.

In addition to the main conference, ARCS will host:
-A special track on Organic Computing.
-A special track on Dependability and Fault Tolerance.
-A PhD forum to present the work of young doctoral students (10 page 
papers).
-A Group forum for new professors, individual researchers, and consortia 
to present their research group's project (5 page papers).


The proceedings of ARCS 2025 will be published in the Springer Lecture 
Notes on Computer Science
(LNCS) series. A best paper will be elected by the Program Committee, and
a publicum’s favourite presentation award will be chosen by the audience.
Both awards will be given at the conference.



*Important Dates*
=========================================================================
* Paper submission deadline (extended):			February 9, 2025
* Notification of acceptance:			March 16, 2025
* Camera-ready papers:				April 6, 2025
* Conference (in Kiel, Germany):		April 22 - 24, 2025


*Topics of Interest*
=========================================================================
Paper submission: Authors are invited to submit original,
unpublished research papers on one or more of the following topics:

**Hardware Architectures**
   * Reconfigurable architectures
   * System-on-chip
   * Distributed systems
   * High performance systems
   * Heterogeneous multi- and many-core architectures
   * Hybrid CPU-GPU and CPU-QPU architectures
   * HPC-workload specific accelerator architectures
   * Architectures for real-time and mixed-criticality systems
   * Coarse- and fine-grained reconfigurable architectures
   * Flexible I/O support
   * Using new non-volatile memory for energy-efficient architectures
   * New smart network technologies (e.g. SmartNICs, SmartSwitches)
   * Advanced computing architectures

**Programming Models and Runtime Environments**
   * Programming feedback on novel HPC chip architectures
   * HPC programming models for heterogeneous computing
   * Hybrid CPU-QPU programming and experiments
   * Tools to monitor and to optimize the power consumption of HPC 
architecture
   * Operating systems, programming models, algorithms, and data 
structures for heterogeneous HPC architectures
   * Operating systems, hypervisors and middleware for homogeneous and 
heterogeneous multi-/many-core computing platforms
   * System management including but not limited to scheduling, memory 
management, power/thermal management, and RTOS
   * Domain-specific languages and programming models
   * Architecture specific code generation and optimization
   * Architectural simulation

**Cross-sectional Topics**
   * Near-memory and in-memory computing
   * Memory and network compression technologies
   * Organic Computing
   * Pervasive systems
   * Autonomous systems
   * Approximate Computing
   * Mixed-criticality systems
   * Support for safety and security
   * Hardware in the loop simulations
   * Optimization and performance analysis


*Special Track on Organic Computing*
=========================================================================
Organic Computing postulates to equip technical systems with `lifelike’
properties. Technically, this means to move traditional design-time
decisions to runtime and into the responsibility of systems themselves.
As a result, systems have a dramatically increased decision freedom that
leads to highly autonomous behaviour. The goal of this process is to
allow for self-adaptation and self-improvement of system behaviour at
runtime. Especially since conditions that occur at runtime can only be
anticipated to a certain degree, efficient mechanisms are needed that
guide the system’s behaviour even in cases of missing knowledge or
uncertain environmental states. Consequently, the research field of
Organic Computing investigates fundamental principles, discusses
essential aspects, and researches novel methods that are needed to
finally build self-adaptive and self-organising systems that are
capable of reliable operation in complex real-world environments.

Details and Topics of interest:
https://urldefense.us/v3/__https://arcs-conference.org/organic-computing__;!!G_uCfscf7eWS!dVHBWhACC1cNo-5MhcXb5yUvg1_IolNmi8Z-brgMUv5sj8Zh65uujgsesRNFXVE4n0kyihPTv6e7-sItubnkj_PfHEImhbBTsgw$ 


*Submission guidelines*
=========================================================================
Submissions should be done through the link that is provided on the
conference website https://urldefense.us/v3/__https://easychair.org/conferences/?conf=arcs2025__;!!G_uCfscf7eWS!dVHBWhACC1cNo-5MhcXb5yUvg1_IolNmi8Z-brgMUv5sj8Zh65uujgsesRNFXVE4n0kyihPTv6e7-sItubnkj_PfHEImy3FjEBM$ .
Papers must be submitted in PDF format.

They should be formatted according to Springer LNCS style (see:
https://urldefense.us/v3/__https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines__;!!G_uCfscf7eWS!dVHBWhACC1cNo-5MhcXb5yUvg1_IolNmi8Z-brgMUv5sj8Zh65uujgsesRNFXVE4n0kyihPTv6e7-sItubnkj_PfHEImxOG5hE4$ ) 
and must not exceed 15 pages, including references and figures.


*Organizers*
=========================================================================
General Co-Chairs:
Sven Tomforde, University of Kiel, Germany.
Christian Krupitzer, University of Hohenheim in Stuttgart, Germany.

PC Co-Chairs
Stephane Vialle, CentraleSupelec, Paris-Saclay University, LISN, France.
Estela Suarez, SiPEARL GmbH, Germany.

Proceedings Chair
Thilo Pionteck, Magdeburg University , Germany.

Publicity Chair
Mathias Pacher, DHBW Karlsruhe, Germany.

Web Chair
Lars Bauer, Germany.


https://urldefense.us/v3/__https://arcs-conference.org__;!!G_uCfscf7eWS!dVHBWhACC1cNo-5MhcXb5yUvg1_IolNmi8Z-brgMUv5sj8Zh65uujgsesRNFXVE4n0kyihPTv6e7-sItubnkj_PfHEIm8k3HJUQ$