Workshop Overview
The convergence of artificial intelligence (AI) and high-performance computing (HPC), alongside the rapid advancement of
heterogeneous computing architectures, is reshaping the landscape of modern supercomputing. Specialized accelerators such as GPUs,
TPUs, IPUs, neuromorphic processors, quantum devices, and FPGAs—are driving innovation, but also introducing new challenges in
performance portability, system optimization, and software adaptability.
In this era of exascale and extreme heterogeneity, fully harnessing diverse hardware platforms demands AI-driven methods, novel programming
paradigms, and intelligent workload orchestration. This workshop will bring together researchers and practitioners from academia, industry, and
national laboratories to explore cutting-edge developments in AI-HPC integration, heterogeneous system design, energy-efficient computing,
and AI-assisted performance tuning.
By fostering interdisciplinary dialogue and collaboration, the workshop seeks to drive progress toward scalable, efficient, and sustainable computing.
We invite contributions addressing heterogeneous hardware, AI-enabled HPC methodologies, advanced memory architectures, and innovative
programming models aiming at shaping the future of AI-driven scientific discovery and high-performance computing.