[HPC-NEWS] Call for Papers: 5th Workshop on Computational Aspects of Deep Learning

[HPC Cineca]

Call for Papers: 5th Workshop on Computational Aspects of Deep Learning  (https://www.hpc.cineca.it/newsletter/call-for-papers-5th-workshop-on-computational-aspects-of-deep-learning/) 

4 February 2025 

We are pleased to announce the 5th Workshop on Computational Aspects of Deep Learning (CADL 2025), to be held in conjunction with the ISC High Performance conference (  (https://urldefense.com/v3/__https://isc-hpc.com/__;!!P1tgJ-3e!BympifF7QYxA0Zo_jmpJuI8Evh0wu6ycktq1Wv7UX1QVxMeZnw1nKEm2YSU1DVun_nvNpNDLVbP-8HKni5A$) https://isc-hpc.com/  (https://isc-hpc.com/) ). CADL 2025 aims to bring together experts from Deep Learning and High-Performance Computing to address critical challenges in advancing AI through efficient computing. 

Workshop Focus 

 CADL 2025 will explore innovative approaches to optimize neural architectures, training procedures, and infrastructure to ensure model effectiveness, scalability, and energy efficiency. We welcome submissions on a wide range of topics, including but not limited to: 

Optimization strategies for reducing energy consumption in deep learning 
Novel architectures and operators for data-intensive scenarios 
Distributed and efficient reinforcement learning algorithms 
Large-scale pre-training techniques for real-world applications 
Utilization of HPC and massively parallel architectures for deep learning 
Model pruning, gradient compression, and quantization techniques 
Efficient deep learning for edge and embedded devices 
Green AI: Sustainable practices and carbon footprint reduction 
Scalable and efficient multi-modal learning architectures 
Computational aspects of AI safety and robustness 
Submission Guidelines 

Full papers should be submitted in PDF format, up to 12 pages (excluding references) 
Use the LNCS formatting guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines  (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) 
Submit via the Microsoft CMT platform: https://cmt3.research.microsoft.com/CADL2025  (https://cmt3.research.microsoft.com/CADL2025) 
Accepted papers will be published in Springer's Lecture Notes in Computer Science (LNCS) 
Important Dates 

Paper Submission Deadline: February 28, 2025 (23:59 AoE) 
Notification of Acceptance: March 28, 2025 
Camera-Ready Submission: May 16, 2025 
Workshop Date: June 13, 2025 
Review Process 

Submissions will undergo a rigorous peer-review process for oral presentations. 

Organizing Committee 

- Giuseppe Fiameni (Solution Architect AI and HPC at NVIDIA, Italy) 
- Iuri Frosio (Principal Research Scientist at NVIDIA, Italy) 
- Claudio Baecchi (Senior Machine Learning Engineer, Small Pixels at University of Florence, Italy) 
- Laura Morselli (Senior HPC Technology Specialist, CINECA, Italy) 
- Lorenzo Baraldi (Tenure Track Assistant Professor, University of Modena and Reggio Emilia, Italy) 
- Fabian Bösch (Research Software Engineer, CSCS, Switzerland) 
- Dario Garcia-Gasulla (Leading Researcher, BSC, Spain) 

Join us at CADL 2025 to shape the future of efficient and accessible AI computing! 
For more information, please visit our website or contact the organizing committee: 
https://sites.google.com/view/cadl2025  (https://sites.google.com/view/cadl2025) 

Best regards, 

HPC User Support @ CINECA 



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