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Converged HPC-AI Platforms: Navigating the Challenges of Heterogeneous Systems
DescriptionRecent national laboratories and supercomputing centers are deploying heterogeneous systems integrating multi-core CPUs with GPUs, AI accelerators, FPGAs, IPUs, and DPUs. While these converged HPC-AI platforms promise unified infrastructure for large-scale simulation and AI workloads, they introduce complexities in programming, scalability, portability, and optimization. This BoF session examines the novel co-design strategies required to address heterogeneous architectures, focusing on scalable application frameworks, unified programming models, portable workflows, and software-hardware integration. Attendees will share experiences, tools, and emerging architectures to facilitate the convergence of HPC and AI, aiming to equip the community with actionable insights for developing high-performance applications on post-exascale systems.