CHAIRS

• Abhinav Bhatele, University of Maryland, College Park, USA
• Robert Birke, University of Turin, Italy

Program Committee

• Andreea Anghel, IBM Research, Switzerland
• Ashiq Anjum, University of Leicester, United Kingdom
• Achim Basermann, German Aerospace Center (DLR), Germany
• Suren Byna, Ohio State University, USA
• José M Cecilia, Universitat Politècnica de València, Spain
• Sophie Cerf, INRIA, France
• Alexandru Costan, INRIA, France
• Reza Farahani, University of Klagenfurt, Austria
• Sukhpal Singh Gill, Queen Mary University of London, United Kingdom
• Ligang He, The University of Warwick, United Kingdom
• Shadi Ibrahim, INRIA, France
• Odej Kao, TU Berlin, Germany
• Hideyuki Kawashima, Keio University, Japan
• Youngjae Kim, Sogang University, South Korea
• Michael Kuhn, Otto von Guericke University Magdeburg, Germany
• Preeti Malakar, IIT Kanpur, India
• Manolis Marazakis, Institute of Computer Science, FORTH, Greece
• Adriano Marques Garcia, Johannes Kepler University Linz, Austria
• Daniel Nichols, LLNL, USA
• Jorji Nonaka, RIKEN Center for Computational Science, Japan
• Ramon Nou, Barcelona Supercomputing Center, Spain
• Dana Petcu, West University of Timisoara, Romania
• M. Mustafa Rafique, Rochester Institute of Technology, USA
• Jože M. Rožanec, Jožef Stefan Institute, Slovenia
• Rizos Sakellariou, The University of Manchester, United Kingdom
• Siddharth Singh, NVIDIA, USA
• Hari Subramoni, Ohio State University, USA
• Osamu Tatebe, University of Tsukuba, Japan
• Douglas Thain, University of Notre Dame, USA
• Jeyan Thiyagalingam, Science and Technology Facilities Council, United Kingdom
• Yang Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
• Jidong Zhai, Tsinghua University, China
• Huihuo Zheng, Argonne National Laboratory, USA
• Keren Zhou, George Mason University, USA
• Zeynep Kiziltan, University of Bologna, Italy
• Francesco Antici, Riken Center for Computational Science, Japan
• Ana Paula Couto da Silva, Universidade Federal de Minas Gerais, Brazil
• Horacio González-Vélez, National College of Ireland, Ireland
• Rafael Tolosana-Calasanz, University of Zaragoza, Spain
  
   

FOCUS

• AI and machine learning at scale in the IoT-Edge-Cloud-HPC continuum
• LLMs and HPC for training and inference at scale
• Parallel and distributed deep learning, knowledge discovery, and data mining
• Performance-aware AI and data management in parallel and distributed systems
• Data management, analytics, and storage in distributed, edge, Cloud, and HPC systems
• Parallel, replicated, and highly-available distributed databases
• Parallel and distributed data processing, stream analytics, and visualization
• Workflow management, in-situ analysis, and coupling with HPC simulations
• Scientific, engineering, business, and healthcare data analytics applications
• Emerging trends in AI acceleration, approximate computing, quantum computing and new infrastructures
• Programming models, middleware, and frameworks for high-performance scalable analytics
• Privacy and trust in parallel and distributed data management and analytics systems