GPU-accelerated deep learning for rapid detection and characterization of gravitational waves tagged posts

Blue Waters numerical relativity simulation of two colliding black holes with the open source, numerical relativity software, the Einstein Toolkit. Authors: R. Haas and E. Huerta (NCSA/University of Illinois); Visualization: R. Haas.

Scientists at the National Center for Supercomputing Applications (NCSA), at the University of Illinois at Urbana-Champaign, 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. This innovative research was recently published in Physics Letters B.

Combining deep learning algorithms, numer...