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Video: Jupyter as the Interface to High Performance Computing

In this video, researchers describe how the Jupyter notebook has become one of the tools of choice for the data science and high-performance computing communities. “This webinar will provide an overview of why Jupyter is gaining traction in education, data science, and HPC, with emphasis on how notebooks can be used as interactive documents for exploration and reporting. We will present an overview of how Jupyter works and how the network protocol can be leveraged for both a local single machine and remote-cluster work.”

Video: Shaping the Future of Finance with HPC

In this video, Mao Ye from the University of Illinois describes how his high performance computing computing is shaping the future of Finance. “Ye’s research lies at the intersection of big data, high-performance computing and the economics, and finance realm. Using computing resources, Ye tackles large amounts of data currently being collected by companies and finance institutions. “The high-performance computing is more like a tool,” he said, “because we are basically doing big data research.”

Agenda Posted for Dell EMC Community Event in Austin

The Dell EMC Community Meeting has published their preliminary speaker agenda. The event takes place March 25-27 in Austin, Texas. The Dell HPC Community is a worldwide technical forum that facilitates the exchange of ideas among researchers, computer scientists, executives, developers, and engineers and promotes the advancement of innovative, powerful HPC solutions. The vision of the […]

Supercomputing the Formation of Black Holes

New research based on simulations using the Blue Waters supercomputer at NCSA reveals that when galaxies assemble extremely rapidly — and sometimes violently — that can lead to the formation of very massive black holes. In these rare galaxies, normal star formation is disrupted and black hole formation takes over. “We on the Blue Waters Project are very excited about this accomplishment and very pleased that Blue Waters, with its unique capabilities, once again enabled science that was not feasible on any other system,” said Bill Kramer, the Blue Waters Principal Investigator and Director.

Supercomputing Dark Energy Survey Data through 2021

Scientists’ effort to map a portion of the sky in unprecedented detail is coming to an end, but their work to learn more about the expansion of the universe has just begun. “Using the Dark Energy Camera, a 520-megapixel digital camera mounted on the Blanco 4-meter telescope at the Cerro Tololo Inter-American Observatory in Chile, scientists on DES took data for 758 nights over six years. Over those nights, the survey generated 50 terabytes (that’s 50 trillion bytes) of data over its six observation seasons. That data is stored and analyzed at NCSA. Compute power for the project comes from NCSA’s NSF-funded Blue Waters Supercomputer, the University of Illinois Campus Cluster, and Fermilab.”

Leadership Computing and NSF’s Computational Ecosystem

Irene Qualters gave this talk at the HPC User Forum in Detroit. “For over three decades, NSF has been a leader in providing the computing resources our nation’s researchers need to accelerate innovation,” said NSF Director France Córdova. “Keeping the U.S. at the forefront of advanced computing capabilities and providing researchers across the country access to those resources are key elements in maintaining our status as a global leader in research and education. This award is an investment in the entire U.S. research ecosystem that will enable leap-ahead discoveries.”

Tutorial: “How to use Jupyter Notebooks”

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. “Jupyter notebooks provide a web-based interface to Python, R, Julia and other languages. They allow code, code output, and documentation to be mixed in a single document making it possible to contain self-documented workflows. Focusing on Python I will show how to use Jupyter notebooks on Blue Waters to explore data, produce plots and analyze simulation output using numpy, matplotlib and time permitting, I will show how to use notebooks on login nodes and on compute nodes as well as, time permitting, how to use parallelism inside of Jupyter notebooks.”

Advances in the Fields of Atmospheric Science, Climate, and Weather

Susan Bates from NCAR gave this talk at the Blue Waters Summit. “For the past five years, the Blue Waters Project has provided an invaluable platform for research in the fields of atmospheric science, climate, and weather. The computationally intensive numerical models running on Blue Waters push the limits of model resolution and/or capability in first-of-their-kind simulations.”

Containers: Shifter and Singularity on Blue Waters

In this video from the Blue Waters 2018 Symposium, Maxim Belkin presents a tutorial on Containers: Shifter and Singularity on Blue Waters. “Container solutions are a great way to seamlessly execute code on a variety of platforms. Not only they are used to abstract away from the software stack of the underlying operating system, they also enable reproducible computational research. In this mini-tutorial, I will review the process of working with Shifter and Singularity on Blue Waters.”

Video: Massive Galaxies and Black Holes at the Cosmic Dawn

Tiziana DiMatteo from Carnegie Melon University gave this talk at the 2018 Blue Waters Symposium. “The first billion years is a pivotal time for cosmic structure formation. The galaxies and black holes that form then shape and influence all future generations of stars and black holes. Understanding and detecting the the first galaxies and black holes is therefore one of the main observational and theoretical challenges in galaxy formation.”