About the Conference
The PASC27 Conference
The Platform for Advanced Scientific Computing (PASC) Conference, co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS), will be held from June 28 to June 30, 2027, at Palazzo dei Congressi, Lugano, Switzerland.
PASC26 Theme
Accelerating Scientific Computing through AI-HPC Convergence: Open Challenges
Scientific computing has entered a new era in which AI systems, large-scale simulations, experimental data, and HPC infrastructures cooperate as integrated discovery engines. Although the convergence of AI and HPC is creating unprecedented opportunities across scientific domains, this requires addressing significant scientific and technical challenges. PASC27 will explore how the convergence of AI and HPC can accelerate scientific discovery while preserving scientific rigor, reproducibility, transparency, trustworthiness, scalability, and co-design principles for future scientific workflows.
Conference Chairs
Cristina Silvano
Politecnico di Milano, Italy
Cristina Silvano is Full Professor of Computer Architecture at Politecnico di Milano and Chair of the Computer Science and Engineering research area. In 2022, she promoted the M.Sc. program in HPC Engineering at Politecnico di Milano. She was named IEEE Fellow in 2017 for her contributions to energy-efficient computer architectures. She has served as Scientific Coordinator of three European research projects: ANTAREX, 2PARMA, and MULTICUBE. Her research interests include computer architecture and electronic design automation, with a focus on design space exploration for energy-efficient deep neural network accelerators and autotuning techniques for HPC applications.
Erik Draeger
Lawrence Livermore National Laboratory, US
Dr. Erik Draeger is the Director of the High Performance Computing Innovation Center at Lawrence Livermore National Laboratory as well as the Scientific Computing group leader at the Center for Applied Scientific Computing. He currently serves as the LLNL representative on the Alliance Strategy Team for NNSA’s Predictive Science Academic Alliance Program. Erik has over two decades of experience developing scientific applications to achieve maximum scalability and time to solution on next-generation architectures. He has been a finalist for the Gordon Bell Prize six times since 2005 and won the prize in 2006.
