Participants: Ke Fan, Kunting Qi, Michael E. Papka, Sidharth Kumar

Hyderabad, India

EVL PhD candidate Kunting Qi's paper entitled “ML–Driven Auto-tuning Framework for Non-uniform All-to-All Data Exchange” (Qi, K., Fan, K., Domke, J., Ba, S., Vishwanath, V., Papka, M.E., Kumar, S.) has been selected as a Distinguished Paper Award Nominee to the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science (HiPC) 2025.

HiPC serves as a forum to present current work by researchers from around the world in the areas of high-performance computing and data science. The meeting focuses on all aspects of high-performance computing systems, data science and analytics, and their scientific, engineering, and commercial applications. This year the conference will be held in Hyderabad, India, December 17-20, 2025.

Date: December 17, 2025 - December 20, 2025

Related Entries

Directory:

• Michael E. Papka
• Ke Fan
• Sidharth Kumar
• Kunting Qi

Papers:

• Machine Learning Driven Auto-tuning for Non-uniform All-to-All Collectives

Related Categories

• Data Science
• Deep Learning
• High Performance Computing
• Machine Learning
• Networking