IEEE Cybermatics Congress 2025

Topics

• Performance modeling and simulation for the execution of scalable scientific applications on new heterogeneous architectures
• Big scientific data
• Code modernization methodologies and experiences for adapting the changes in future computing systems
• Graph analytics with their (scientific) applications
• Tools and techniques for improving the performance, reliability and resilience of scientific applications
• Languages for scientific computing on hybrid systems
• Scalable parallel and distributed algorithms supporting science and engineering applications
• Use cases of enterprise distributed computing technology in scientific and engineering applications
• Performance portability across heterogeneous architecture