21st ACM International Conference on Computing Frontiers (CF' 24)

May 7 - 9, 2024, Ischia, Italy
www.computingfrontiers.org

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Important Dates Full Papers

SPECIAL SESSIONS

THE TECHNICAL PROGRAM OF THE SCHEDULED SPECIAL SESSIONS CAN BE FOUND HERE.

Collaborative Projects (Call for Abstracts)

CF'24 will feature a special session focused on collaborative projects addressing the topics of interest of the conference, including novel computational models and algorithms, AI on the edge, new application paradigms, computer architecture (from embedded to HPC systems), computing hardware, memory technologies, networks, storage solutions, compilers, and environments. We encourage submissions from projects funded by funding agencies across the world: EU, DARPA, IARPA, DOE, ESA, NASA, etc.

The goal of this session is to provide a venue for increasing the visibility of current research and development collaborative projects and creating a forum for collaboration. The special session is also an opportunity to discuss future research projects and search for partnerships.

Submissions

Project Coordinators are invited to submit an abstract (1 page of text, A4 or letter paper size, free format) presenting the goals of the project, recent achievements, and lessons learned from the project. The abstracts should be sent by e-mail to the special session co-chairs by February 12th, 2024. Notification of acceptance will be sent by e-mail on February 19th, 2024. The accepted abstracts are invited to prepare a 6-page paper by March 8th, 2024, according to the submission instructions of CF'24, which is again submitted by e-mail to the special session co-chairs. The deadline of the camera-ready submission is March 25, 2024. The accepted abstracts or optional 6-page papers will be published in the workshops volume of the Computing Frontiers conference proceedings in the ACM digital library.

Note that all accepted abstracts are expected to be presented in person at the conference and at least one full registration is required from an author for each accepted abstract.

Contact

For more information, please contact the Special Session co-chairs:

Antonino Tumeo
Pacific Northwest National Laboratory, USA
antonino.tumeo@pnnl.gov

Kristian Rietveld
Leiden University, NL
k.f.d.rietveld@liacs.leidenuniv.nl

Special Session on Computer Architectures in Space — CompSpace '24

Aim and Scope:
The aerospace market has undergone rapid changes within the last decades. Due to technological progress in consumer electronics satellite design has evolved from the purely use of customised hardware solutions towards the utilisation of commercial off-the-shelf electronics, potentially leading to higher cost efficiency and an increased system performance. The dawn of the CubeSats and upcoming Mega-Constellations of miniaturised satellites are currently fuelling the progress, attracting venture capital in a never seen before ratio. Mega-Constellations of satellites for a diverse range of applications have become reality, with multiple operators having monthly launches. While using COTS electronics, such missions require an increased level of dependability in all subsystems to enable their use within critical missions and for such with prolonged lifetime requirements. However, miniaturised satellites are plagued by low dependability, and require failure tolerance and reliability-enhancing measures to be implemented. Furthermore, on board computers of such spacecraft need to consider specific boundary conditions, which can differ significantly from those of standard computing systems. These comprise environmental factors like launch loads or radiations robustness but also limitations regarding power consumption, mass or costs. After its successful introduction as a workshop at ARCS2017 and the special sessions at CF2022 and CF2023, respectively, a new session is planned for CF2024. We aim at discussing existing and novel approaches for computer architectures and their applications in space, targeting an audience from computer architects to space engineers working on miniaturised as well as traditional larger scale satellites as well as representatives from space agencies. Synergies to existing terrestrial applications as well as computing architectures of constellations and swarms of satellites are a focus of the special session, being firmly embedded into the main conference.

Contributions on the topic of Hardware and Software Architecture of spaceflight on board computers are of particular interest but not limited to:

• Dependable spacecraft and payload computer architectures
• Computer architectures in spaceflight, e.g. FPGAs
• Mitigation of radiation induced errors
• Power Efficient Computing on SmallSats and CubeSats
• Space Mission results and lessons learned
• Architectures for real time sensor data processing in space, e.g. RF
• Modified COTS solutions for space applications
• Real Time and fault tolerance on COTS solutions
• Fault detection and fault mitigation
• Cloud, Parallel and Distributed Computing in space
• Feasibility of machine learning approaches on Satellite Payloads and OBCs

Information for Authors

Invited authors will be asked to submit a 6-page paper by e-mail by March 11, 2024 in ACM conference format (please refer to the CF'24 submission instructions). After confirmation by the organisers, a camera-ready submission is expected by March 25, 2024. The special session will focus on research presentations as well as brainstorming sessions. Therefore, two kinds of contributions are welcome:

• Research papers documenting results of scientific investigations
• Position papers proposing strategies or discussing open problems

Confirmed papers will be published in the workshops volume of the Computing Frontiers conference proceedings in the ACM digital library. Note that all confirmed papers are expected to be presented in person at the conference and at least one full registration is required from an author for each paper.

Contact

For more information, contact the CompSpace organisers:

Carsten Trinitis
Technical University of Munich, Heilbronn, DE
Carsten.Trinitis@tum.de

Arts Yang
NVIDIA, USA
arts@nvidia.com