Researchers at the DIII-D National Fusion Facility achieved a scientific first this month when they used machine learning calculations to automatically prevent fusion plasma disruptions in real time, while simultaneously optimizing the plasma for peak performance. The new experiments are the first of what they expect to be a wave of research in which machine learning–augmented controls could broaden the understanding of fusion plasmas. The work may also help deliver reliable, peak performance operation of future fusion reactors.
Advancing Fusion Science with CGYRO using GPU-based Leadership Systems
June 4, 2019 by
Jeff Candy and Igor Sfiligoi from General Atomics gave this talk at the GPU Technology Conference. “Gyrokinetic simulations are one of the most useful tools for understanding fusion science. We’ll explain how we designed and implemented CGYRO to make good use of the tens of thousands of GPUs on such systems, which provide simulations that bring us closer to fusion as an abundant clean energy source. We’ll also share benchmarking results of both CPU- and GPU-Based systems.”
General Atomics Fabricates First ITER Central Solenoid Module for Nuclear Fusion
May 7, 2019 by
Engineers at General Atomics have completed fabrication of the first ITER Central Solenoid Module for nuclear fusion. When the ITER fusion energy project in France powers up in 2025, its first operations will be enabled by the largest pulsed superconducting magnet ever built – a magnet that has roots in Southern California.
Job of the Week: Software Developer for Exascale at General Atomics
April 12, 2017 by
General Atomics in San Diego is seeking a Software Developer for Exascale Computing at General Atomics in our Job of the Week. “This position independently leads the design, development and verification of novel scientific software for high-fidelity physics simulations on unique high performance computational hardware including Exascale-class systems.”
General Atomics Releases Next-Gen Nirvana Data Management Software
October 7, 2016 by
Today General Atomics announced the next generation of Nirvana – a premier metadata, data placement and data management software solution for the most demanding workflows in Life Sciences, Scientific Research, Media & Entertainment and Energy Exploration. “Nirvana 5.0 reduces storage costs up to 75% by turning geographically dispersed, multiple vendor storage silos into a single global namespace that automatically moves infrequently-accessed data to lower-cost storage or to the cloud.”
Metadata Used in Science
August 31, 2016 by Leave a Comment
Metadata is the key to keeping track of all this unstructured scientific data. It is “data about data.” In the case of scientific data, it is structured data (written in a prescribed schema or order) that describes what the data is, how it was derived, and where it is located.
Video: General Atomics Delivers Data-Aware Cloud Storage Gateway with ArcaStream
December 4, 2015 by
“Ngenea’s blazingly-fast on-premises storage stores frequently accessed active data on the industry’s leading high performance file system, IBM Spectrum Scale (GPFS). Less frequently accessed data, including backup, archival data and data targeted to be shared globally, is directed to cloud storage based on predefined policies such as age, time of last access, frequency of access, project, subject, study or data source. Ngenea can direct data to specific cloud storage regions around the world to facilitate remote low latency data access and empower global collaboration.”
World’s First Data-Aware Cloud Storage Gateway Coming to SC15
November 9, 2015 by
Today ArcaStream and General Atomics introduced Ngenea, the world’s first data-aware cloud storage gateway. Ready for quick deployment, Ngenea seamlessly integrates with popular cloud and object storage providers such as Amazon S3, Google GCS, Scality, Cleversafe and Swift and is optimized for data-intensive workflows in life science, education, research, and oil and gas exploration.
How Nirvana Software Provides Sophisticated Metadata Management
December 17, 2014 by
“By presenting a single global namespace across any storage device, anywhere in the world, Nirvana allows data to be easily and securely shared among globally distributed teams. Nirvana also automatically moves data to various workflow resources, based on policies so data is always available at the right place, at the right time, and at the right cost ― while keeping an audit trail as data is ingested, transformed, accessed, and archived through its complete lifecycle.”
