Session Information

Session Information

The Smoky Mountains Computational Sciences and Engineering Conference (SMC2024) is a premier event for discussing the latest developments in computational sciences and engineering for high-performance computing (HPC) and integrated instruments for science. The conference has been held since 2003. This year, the 21st installment of the conference is virtual and in person at the Marriott in Downtown Knoxville, Tennessee, USA. The conference theme is “Accelerating science and engineering discoveries through advanced technologies and integrated research infrastructures for experiments, machine learning/AI, and modeling and simulation.” This year, the program committee will invite vision papers that include authors’ perspectives on the most important directions for research, development, production, and experiences, and needs for investment. We specifically encourage authors to emphasize their positions, grounded in evidence, in the specific areas identified in the sessions below. For questions please contact [email protected].

Session 1. Challenges and Solutions in Novel Emerging Application Spaces

Session chairs – Heidi Hanson and Kathleen Hamilton

This session will address the computational challenges inherent in emerging applications including AI for science, quantum computing, biomedical sciences, and digital twins. The presenters will provide insight into computational strategies designed to overcome these challenges and facilitate innovation in these domains.

Session 2. Scientific Methods for Advanced Technologies and Integrated Research Infrastructures

Session chairs – Ayana Ghosh and Rick Archibald

There is a strong need in the DOE community for the development of new scientific methods and technologies to enable integrated research across the DOE complex. This session will focus on new methods, such as machine learning, high throughput, and scalable algorithms, that meet the challenges required for these new integrated research infrastructures.

Session 3. Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem

Session chairs – Keita Teranishi and Mariam Kiran

This session covers novel developments in systems and software that help infrastructure integrate with engineering and science problems for large-scale DOE science challenges.

Session 4. Exascale Accomplished! What’s next? The Challenges of Deploying HPC Systems in the Radically Diverging Post-Exascale World

Session chairs – Chris Zimmer and Feiyi Wang

The technology landscape is changing. Traditional technology vendors are prioritizing reduced precision, Quantum is approaching usability, HPC in the cloud has exceeded the capabilities at national labs, and without better energy efficiency, the future of computing growth is complex. What will large-scale HPC deployments look like in the later part of this decade? In this session, we will discuss the changing landscape of large-scale HPC in the exascale era.

Featured Session: Data Challenge

Session chairs – Suzanne Parete-Koon and Michael Sandoval

SMC2024 provides an opportunity to tackle scientific data challenges that come from eminent data sets at ORNL. These data sets come from scientific simulations and instruments in physical and chemical sciences, electron microscopy, bioinformatics, neutron sources, urban development, and other areas.

For more information please visit:  https://smc-datachallenge.ornl.gov

Featured Session: IRI Demos

Session chairs – David Rogers, Rafael Ferreira Da Silva, and Ben Mintz

The Department of Energy’s Integrated Research Infrastructure aims to empower researchers to meld DOE’s world-class research tools, infrastructure, and user facilities seamlessly and securely in novel ways to radically accelerate discovery and innovation.  Ideas, tools and technology emerging from this effort are already beginning to open up new avenues to how we use experimental and computational scientific instruments together. The Advanced Computing Ecosystem IRI Demos Session hosts talks covering both technologies and applications that capture a cross-section of the state of the art.