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Video: Deep Learning for Real-Time Gravitational Wave Discovery

Scientists at NCSA have pioneered the use of GPU-accelerated deep learning for rapid detection and characterization of gravitational waves. This new approach will enable astronomers to study gravitational waves using minimal computational resources, reducing time to discovery and increasing the scientific reach of gravitational wave astrophysics.

Gravitational Waves: The Role of Computing in Opening a New Field of Astronomy

Dr. Joshua L. Willis from the California Institute of Technology and Dan Stanzione from TACC gave this talk at the Intel HPC Developer Conference. “These discoveries mark the beginning of gravitational wave astronomy, and in this talk we will highlight what we have learned and hope to learn in this new field, pointing out many of the ways in which high-throughput and high-performance computing have been essential to its progress.”

SC17 Highlights Nobel Prize Winning LIGO Collaboration

In this video from SC17, researchers discuss the role of HPC in the Nobel Prize-winning discovery of gravitational waves, originally theorized 100 years ago by Albert Einstein in his general theory of relativity. “We are only now beginning to hear the vibrations of space-time that are all around us—we just needed a better ear. And when we detect that, we’re detecting the vibrations of everything that has ever moved in the universe. This is real. This is really there, and we’ve never noticed it until now.”

Comet Supercomputer at SDSC Helps Confirm Gravitational Wave Discovery

The NSF-funded Comet supercomputer at SDSC was one of several high-performance computers used by researchers to help confirm that the discovery of gravitational waves before a formal announcement was made.