Researchers Sang-Ho Kim, An-Ping Li, Bronson Messer and Zac Ward of ORNL have been named Fellows of the American Physical Society in recognition of their outstanding impact in their respective fields.
The Department of Energy has renewed funding for the Quantum Science Center through 2030 to create a new scientific ecosystem for fault-tolerant, quantum-accelerated high-performance computing.
ORNL, NVIDIA, and HPE are partnering to integrate quantum computing, AI, and high-performance computing using NVIDIA NVQLink and CUDA-Q, establishing a hybrid testbed at ORNL to advance quantum–classical convergence and scientific discovery.
The Simplified Interface to Complex Memories (SICM) project delivers a powerful software solution that abstracts away the complexity of modern, multi-tiered memory systems.
The research team developed an intelligent, automated software solution that elegantly solves the complex problem of managing data in modern computers with multiple memory types.
Summary: Automation and autonomy can enable revolutionary scientific advances by coordinating a diverse array of experimental and computational capabilities more efficiently and more effectively than current hands-on approaches.
This research introduces a data-efficient, AI-driven framework for making smarter scheduling decisions in High-Performance Computing.
Using a new computational technique called information geometric regularization researchers from the Georgia Institute of Technology and the Courant Institute of Mathematical Sciences at New York University conducted the largest-ever computational fluid
The results of a study conducted on the Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory offer the clearest portrait so far of how some galaxies regulate the energy produced by supermassive black holes at their cores.