Presenter

Urvij Saroliya is a Doctoral Candidate and Scientific Staff at the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich, where he also earned his Master of Science in Computer Science in 2024. His research focuses on performance modeling and resource management for heterogeneous High Performance Computing - Artificial Intelligence (HPC-AI) systems, with an emphasis on optimizations to improve overall system performance and energy efficiency. His work also extends to performance optimization on accelerators such as GPUs and FPGAs. In addition, he brings industry experience as a software engineer.