A Unifying Framework to Enable Artificial Intelligence in High Performance Computing Workflows
arXiv:2505.02738 · doi:10.1109/MCSE.2025.3543940
Abstract
Current trends point to a future where large-scale scientific applications are tightly-coupled HPC/AI hybrids. Hence, we urgently need to invest in creating a seamless, scalable framework where HPC and AI/ML can efficiently work together and adapt to novel hardware and vendor libraries without starting from scratch every few years. The current ecosystem and sparsely-connected community are not sufficient to tackle these challenges, and we require a breakthrough catalyst for science similar to what PyTorch enabled for AI.
article is still in press; DOI was already assgined by publisher; publication will appear in Computing in Science & Engineering (CiSE) https://www.computer.org/csdl/magazine/cs