HPC is changing the landscape of cancer research. Hear Argonne experts and partner panelists discuss HPC’s impact on this critical work at two Computational Approaches for Cancer Workshop talks, Anti-Cancer Drug Response Prediction on Patient-Derived Xenografts: Learning from Extremely Limited Data and Cross-HPO: Optimizing Neural Networks for Cancer Drug Response Using Hyperparameter Tuning on Multiple
A multi-institutional team led by Argonne has been named a finalist for the Association for Computing Machinery’s Gordon Bell Prize for a breakthrough in computational protein design. Researchers developed MProt-DPO, a system that streamlines the design of proteins by focusing on desired traits such as stability and functionality. The innovation lies in its ability to operate
Building and training large language models (LLMs) for scientific discovery pose significant technical challenges, often beyond the resources of most organizations. Multi-institutional collaborations are essential to ensuring progress. Led by Argonne, the international Trillion Parameter Consortium has organized a half-day workshop to accelerate the development and use of generative AI for science and engineering. Speakers
Argonne’s Aurora exascale system will be spotlighted in a featured talk at DOE’s exhibit booth by Ian Foster, who will discuss the AuroraGPT project to train large language models on scientific data. Argonne researchers also will compare the performance portability of a dozen applications on supercomputers that utilize GPUs, including Aurora at the Argonne Leadership Computing Facility (ALCF).
Technical demonstrations in the DOE exhibit booth showcase how Argonne is melding tools, infrastructure, and user facilities to advance discovery as part of DOE’s Integrated Research Infrastructure (IRI). A live demonstration of the ALCF’s Polaris supercomputer will process data (both online and offline) from Advanced Photon Source experiments in near real-time, using Globus Compute to create
The past few years have seen an emergence of specialized accelerators designed to speed up AI applications for scientific discovery. Argonne will participate in two activities highlighting the novel AI accelerators at the ALCF AI Testbed. In a full-day tutorial, Murali Emani, Varuni Sastry and Sid Raskar will present an overview of Argonne’s five state-of-the-art AI-accelerator
Argonne researchers have several technical demonstrations scheduled in the DOE exhibit booth. One presentation will introduce the Partnering for Scientific Software Ecosystem Stewardship Opportunities (PESO) project, which supports software-ecosystem stewardship and advancement. The SciStream demo enables data streaming between science instruments and HPC nodes. Simulator of QUantum Network Communication (SeQUeNCe) is a customizable, discrete-event quantum network
When it comes to working with big data, one of the challenges is how to manage and store massive amounts of information. Argonne’s Franck Cappello, Sheng Di and Robert Underwood will discuss improving data compression—a method that reduces the size of data without losing important details—at a full-day tutorial. They also will present a technical
The annual Extreme-Scale Experiment-in-the-Loop Computing (XLOOP) workshop focuses on the intersection of HPC and large-scale experimental science. Chaired by Argonne’s Justin Wozniak and Nicholas Schwarz, XLOOP will feature papers and presentations detailing how advances in computing, including new AI data transfer methods, are helping to accelerate discoveries by integrating HPC resources with observational and experimental facilities.
Beyond the technical innovations, Argonne researchers are also focused on building a diverse and inclusive community in high performance computing. Lois Curfman McInnes and other scientists will participate in discussions about empowering women in the field, sharing their work, and inspiring the next generation of leaders in supercomputing. In a session titled Scientific Software and