Yi Ju

Yi Ju is a Researcher and Ph.D. candidate at the Technical University of Munich, affiliated with the Department of Informatics (Informatik 10) and the Max Planck Computing and Data Facility (MPCDF) under Prof. Erwin Laure. He works within the Chair of Computer Architecture and Parallel Systems led by Prof. Martin Schulz, focusing on cutting-edge HPC research and teaching advanced computer architecture courses.

His primary research areas include In-Situ Techniques for real-time data processing, Performance Modelling of computational workflows, and Dynamic Resource Management in heterogeneous systems. His work bridges theoretical modeling with practical implementation in GPU-accelerated environments, computational fluid dynamics, and quantum-HPC integration, emphasizing efficiency and scalability in exascale computing.

Analysis of Yi Ju's publications reveals a consistent trajectory toward optimizing in-situ processing pipelines across diverse architectures. His research demonstrates increasing sophistication in resource allocation strategies, with recent work exploring MPI-session frameworks and GPU-specific optimizations. Emerging trends show growing emphasis on quantum computing integration and precision-aware algorithms for scientific simulations.

Yi Ju actively contributes to major HPC initiatives:

• SEANERGYS (EuroHPC) for energy-efficient computing
• PlasmaPEPS for plasma physics simulations
• OpenCUBE for big data analytics
• DaREXA-F for exascale applications
• ScalNEXT for scalable computing frameworks

He collaborates extensively with MPCDF on performance modeling and resource management solutions for large-scale scientific simulations, while also mentoring students through TUM's advanced computer architecture curriculum.