AI on HPC - Performance Engineering, Challenges and Opportunities

This session explores the critical intersection of Artificial Intelligence and High-Performance Computing, focusing on the specialized engineering required to optimize complex AI workloads within traditional supercomputing architectures. Designed for researchers, systems architects, and performance engineers, the conference addresses the systemic friction between batch-oriented HPC environments and the dynamic demands of large-scale machine learning. It serves as a vital forum for bridging the gap between hardware capabilities and algorithmic efficiency to advance the next generation of AI-driven scientific discovery.

artificial intelligence high performance computing AI HPC

We invite submissions that present original research, case studies, or architectural frameworks addressing performance bottlenecks in AI-HPC integration. We particularly encourage papers detailing novel optimization techniques, benchmarking methodologies, and scalable strategies for deploying AI models in resource-constrained or high-latency HPC environments.