Events

ChatHPC democratizes large language models for the high-performance computing (HPC) community by providing the infrastructure, ecosystem, and knowledge needed to apply modern generative AI technologies to rapidly create specific capabilities for critical HPC components while using relatively modest computational resources. Our divide-and-conquer approach focuses on creating a collection of reliable, highly specialized, and optimized AI assistants for HPC based on the cost-effective and fast Code Llama fine-tuning processes and expert supervision. We target major components of the HPC software stack, including programming models, runtimes, I/O, tooling, and math libraries. Thanks to AI, ChatHPC provides a more productive HPC ecosystem by boosting important tasks related to portability, parallelization, optimization, scalability, and instrumentation, among others. With relatively small datasets (on the order of KB), the AI assistants, which are created in a few minutes by using one node with two NVIDIA H100 GPUs and the ChatHPC library, can create new capabilities with Meta’s 7-billion parameter Code Llama base model to produce high-quality software with a level of trustworthiness of up to 90% higher than the 1.8-trillion parameter OpenAI ChatGPT-4o model for critical programming tasks in the HPC software stack.

Containers let you package your application and its dependencies into a single image, giving you control over your software environment on Frontier. This tutorial covers building and running containers with Apptainer, using MPI and GPU resources, and working through hands-on examples with LAMMPS and PyTorch.

OLCF, in partnership with AMD, HPE, and others, invites research teams to participate in a competitive hackathon on Frontier, the world’s most powerful supercomputer. Participants will work to advance fundamental scientific discovery by exploring strategies to optimize performance, scalability, and data processing, as well as developing innovative methods to accelerate high-performance computing workflows and enhance computational efficiency. Selected teams will collaborate with leading experts to push the boundaries of what is possible on exascale systems. Proposals are due by March 4.

The Quantum Computing User Forum brings together both users of the Quantum Computing User Program (QCUP) and other interested parties in order to discuss common practices in the development of applications, software, and simulations for quantum computing devices and systems. Hosted by the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, the Forum is scheduled for July 20-24th, 2026.