Scott Callaghan from the Southern California Earthquake Center presented this talk as part of the Blue Waters Webinar Series. “I will present an overview of scientific workflows. I’ll discuss what the community means by “workflows” and what elements make up a workflow. We’ll talk about common problems that users might be facing, such as automation, job management, data staging, resource provisioning, and provenance tracking, and explain how workflow tools can help address these challenges. I’ll present a brief example from my own work with a series of seismic codes showing how using workflow tools can improve scientific applications.”
In this video, Robert Brunner from NCSA presents: Blue Waters System Overview. “Blue Waters is one of the most powerful supercomputers in the world. Scientists and engineers across the country use the computing and data power of Blue Waters to tackle a wide range of challenging problems, from predicting the behavior of complex biological systems to simulating the evolution of the cosmos.”
Exxon Mobil and NCSA Achieve New Levels of Scalability on complex Oil & Gas Reservoir Simulation Models
“This breakthrough has unlocked new potential for ExxonMobil’s geoscientists and engineers to make more informed and timely decisions on the development and management of oil and gas reservoirs,” said Tom Schuessler, president of ExxonMobil Upstream Research Company. “As our industry looks for cost-effective and environmentally responsible ways to find and develop oil and gas fields, we rely on this type of technology to model the complex processes that govern the flow of oil, water and gas in various reservoirs.”
The Extreme Science and Engineering Discovery Environment (XSEDE) annual conference is transforming into an independent entity designed to unite the high-performance computing and advanced digital research community. The new Practice & Experience in Advanced Research Computing conference (PEARC) will welcome all who care about using advanced digital services for research. The PEARC17 Conference will take place in New Orleans, Louisiana, July 9-13, 2017.
In this podcast, the Radio Free HPC team discuss Henry Newman’s recent editorial calling for a self-descriptive data format that will stand the test of time. Henry contends that we seem headed for massive data loss unless we act.
Larry Smarr presented this talk as part of NCSA’s 30th Anniversary Celebration. “For the last thirty years, NCSA has played a critical role in bringing computational science and scientific visualization to the national user community. I will embed those three decades in the 50 year period 1975 to 2025, beginning with my solving Einstein’s equations for colliding black holes on the megaFLOPs CDC 6600 and ending with the exascale supercomputer. This 50 years spans a period in which we will have seen a one trillion-fold increase in supercomputer speed.”
George Slota presented this talk at the Blue Waters Symposium. “In recent years, many graph processing frameworks have been introduced with the goal to simplify analysis of real-world graphs on commodity hardware. However, these popular frameworks lack scalability to modern massive-scale datasets. This work introduces a methodology for graph processing on distributed HPC systems that is simple to implement, generalizable to broad classes of graph algorithms, and scales to systems with hundreds of thousands of cores and graphs of billions of vertices and trillions of edges.”
IDC has announced the featured speakers for the next international HPC User Forum. The event will take place Sept. 22 in Beijing, China.
In this video from the 2016 Blue Waters Symposium, Andriy Kot from NCSA presents: Parallel I/O Best Practices.
Peter Ungaro presented this talk at the 2016 Blue Waters Symposium. “Built by Cray, Blue Waters is one of the most powerful supercomputers in the world, and is the fastest supercomputer on a university campus. Scientists and engineers across the country use the computing and data power of Blue Waters to tackle a wide range of challenging problems, from predicting the behavior of complex biological systems to simulating the evolution of the cosmos.”