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Using Ai to detect Gravitational Waves with the Blue Waters Supercomputer

NASA researchers are using AI technologies to detect gravitational waves. The work is described in a new article in Physics Review D this month. “This article shows that we can automatically detect and group together noise anomalies in data from the LIGO detectors by using artificial intelligence algorithms based on neural networks that were already pre-trained to classify images of real-world objects,” said research scientist, Eliu Huerta.

SC17 Keynote Looks at the SKA Telescope: Life, the Universe, and Computing

In this special guest feature, Robert Roe reports from the SC17 conference keynote. “Philip Diamond, director general of SKA and Rosie Bolton, SKA regional centre project scientist and project scientist for the international engineering consortium designing the high performance computing systems used in the project, took to the stage to highlight the huge requirements for computation and data processing required by the SKA project.”

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.”

Comet Supercomputer Assists in Latest LIGO Discovery

This week’s landmark discovery of gravitational and light waves generated by the collision of two neutron stars eons ago was made possible by a signal verification and analysis performed by Comet, an advanced supercomputer based at SDSC in San Diego. “LIGO researchers have so far consumed more than 2 million hours of computational time on Comet through OSG – including about 630,000 hours each to help verify LIGO’s findings in 2015 and the current neutron star collision – using Comet’s Virtual Clusters for rapid, user-friendly analysis of extreme volumes of data, according to Würthwein.”

Video: Supercomputing Models Enable Detection of a Cosmic Cataclysm

In this podcast, Peter Nugent from Berkeley Lab explains how scientists confirmed the first-ever measurement of the merger of two neutron stars and its explosive aftermath. “Simulations succeeded in modeling what would happen in an incredibly complex phenomenon like a neutron star merger. Without the models, we all probably all would have been mystified by exactly what we were seeing in the sky.”

Video: MareNostrum Supercomputer Powers LIGO Project with 20 Million Processor Hours

Today the Barcelona Supercomputing Center announced it has allocated 20 million processor hours to the LIGO project, the most recent winner of the Nobel Prize for Physics. “The importance of MareNostrum for our work is very easy to explain: without it we could not do the kind of work we do; we would have to change our direction of research.”

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.”

When Neutron Stars and Black Holes Collide

Working with an international team, scientists at Berkeley Lab have developed new computer models to explore what happens when a black hole joins with a neutron star – the superdense remnant of an exploded star. “If we can follow up LIGO detections with telescopes and catch a radioactive glow, we may finally witness the birthplace of the heaviest elements in the universe,” he said. “That would answer one of the longest-standing questions in astrophysics.”

NSF Funds HPC Cluster at Penn State

The Penn State Cyber-Laboratory for Astronomy, Materials, and Physics (CyberLAMP) is acquiring a high-performance computer cluster that will facilitate interdisciplinary research and training in cyberscience and is funded by a grant from the National Science Foundation. The hybrid computer cluster will combine general purpose central processing unit (CPU) cores with specialized hardware accelerators, including the latest generation of NVIDIA graphics processing units (GPUs) and Intel Xeon Phi processors.