Connectionists: [CfP] CCGRID 2025 - Workshop on Challenges, Advances and SustainabiliTy, in Ai-hpc iNtEracTion (CASTANET)

[Francesco Piccialli]

Dear colleagues,

We are organizing a Workshop on AI-HPC interaction the CCGRID 2025 
conference, Tromso (NO), 19-22 May, 2025
*
*
*Workshop on Challenges, Advances and SustainabiliTy
in Ai-hpc iNtEracTion (CASTANET)*

https://www.labdma.unina.it/ccgrid2025/castanet2025.html

held jointly to the CCGRID 2025 conference
Tromso (NO), 19-22 May, 2025

*CALL FOR PAPERS*


*Abstract*
The mutual interaction between High-Performance Computing (HPC) and 
Artificial Intelligence (AI) is an active area of investigation at all 
levels of the Computing Continuum and involves experts from several 
disciplines. On the one hand, AI can provide innovative solutions to 
optimize codes and improve the HPC infrastructures management; on the 
other hand, HPC methods and tools can offer the computational support 
required for training increasingly complex and deep AI models. In any 
case, both areas are known for being among the most energy-intensive, 
and particular attention to the environmental sustainability of the 
proposed solutions is of fundamental importance. Mixed precision 
algorithms, mathematical transformations for filtering out insignificant 
information in training process, transfer learning and federated 
learning approaches are just examples of energy aware techniques in this 
field.
This workshop aims to provide a forum for researchers and practitioners 
to discuss recent advances, share experiences and best practices, 
explore new algorithmic and software solutions, and foster 
collaborations at the intersection of High-Performance Computing and 
Artificial Intelligence, with special attention to energy sustainability 
issues.

*Workshop organizers*
•    Salvatore Cuomo – Univ. of Naples Federico II (Italy)
•    Fabio Giampaolo – Univ. of Naples Federico II (Italy)
•    Marco Lapegna - Univ. of Naples Federico II (Italy)
•    Francesco Piccialli - Univ. of Naples Federico II (Italy)

*Topics of interest*
The topics of interest for submission include, but are not limited to:
•    AI-driven optimization of HPC resources
•    HPC algorithms and software tools for AI and ML
•    Mathematical methods for reducing dataset dimension
•    Mixed-precision algorithms for AI and HPC
•    Sustainable Machine Learning Architectures
•    AI for Energy Management
•    HPC for big data analytics and visualization
•    Interaction of AI and HPC in the Computing Continuum
•    Performance and energy consumption trade-off
•    Energy-aware neural network design
•    Sustainable AI model training techniques
•    AI and HPC for climate change mitigation
•    Decentralized AI systems
•    Intelligent resource allocation in sustainable computing
•    Ethical considerations in AI and HPC energy consumption

*Program Committee*
•    David Camacho - Universidad Politecnica de Madrid (Spain)
•    Jesus Carretero - Universidad Carlos III de Madrid (Spain)
•    Diletta Chiaro - University of Naples Federico II (Italy)
•    Jerry Chun-Wei Lin - Silesian University of Technology (Poland)
•    Horacio González-Vélez - National College of Ireland (Ireland)
•    Raffaele Montella - University of Naples Pathenope (Italy)
•    Edoardo Prezioso - University of Naples Federico II (Italy)
•    Diego Romano - Italian National Research Council (Italy)
•    Roman Wyrzykowski - Czestochowa University of Technology (Poland)

*Important dates*
•    Workshop paper submission deadline: February 14th, 2025
•    Workshop paper acceptance notification: March 7th, 2025
•    Camera ready paper submission: March 14th, 2025

Best Regards


Prof. Francesco Piccialli, Ph.D.
DMA - Department of Mathematics and Applications "R. Caccioppoli"
University of Naples Federico II, Italy
Tel. +39 081675787
Head and Scientific Director of M.O.D.A.L group:https://www.labdma.unina.it
Web:http://wpage.unina.it/francesco.piccialli/
Google Scholar:https://scholar.google.it/citations?user=CLNn_9gAAAAJ&hl=it
Institutional web:https://www.docenti.unina.it/francesco.piccialli
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