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Supercomputing Better Tools for Long-Term Crop Prediction

Researchers are using the Blue Waters supercomputer to create better tools for long-Term crop prediction. “We built this new tool to bridge these two types of crop models combining their strengths and eliminating the weaknesses. This work is an outstanding example of the convergence of simulation and data science that is a driving factor in the National Strategic Computing Initiative announced by the White House in 2015.”

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.

Dark Energy Survey Releases First Three Years of Data

Today scientists from the Dark Energy Survey (DES) released their first three years of data. This first major release of data from the Survey includes information on about 400 million astronomical objects, including distant galaxies billions of light-years away as well as stars in our own galaxy. “There are all kinds of discoveries waiting to be found in the data. While DES scientists are focused on using it to learn about dark energy, we wanted to enable astronomers to explore these images in new ways, to improve our understanding of the universe,” said Dark Energy Survey Data Management Project Scientist Brian Yanny of the U.S. Department of Energy’s Fermi National Accelerator Laboratory.

Advanced Protein Prediction Using Deep Learning on Blue Waters Supercomputer

Researchers at NCSA used the Blue Waters Supercomputer and Deep Learning to achieve a breakthrough in protein structure predictions. As published in the Cell Systems journal, the research was conducted by Jian Peng, NCSA Faculty Fellow and Assistant Professor in the Department of Computer Science at Illinois and Yang Liu, a graduate student in the Department of Electrical and Computer Engineering. “Peng’s research proposes to largely explore a more accurate function for evaluating predicted protein structures through his development of the deep learning tool, DeepContact. DeepContact automatically leverages local information and multiple features to discover patterns in contact map space and embeds this knowledge within the neural network. Furthermore, in subsequent prediction of new proteins, DeepContact uses what it has learned about structure and contact map space to impute missing contacts and remove spurious predictions, leading to significantly more accurate inference of residue-residue contacts.”

Blue Waters Supercomputer Crunches Data from NASA’s Terra Satellite

Researchers are using the Blue Waters supercomputer at NCSA to process new data from NASA’s Terra Satellite. Approximately the size of a small school bus, the Terra satellite explores the connections between Earth’s atmosphere, land, snow and ice, ocean, and energy balance to understand Earth’s climate and climate change and to map the impact of human […]

SC17 Panel: Energy Efficiency Gains From Software

In this video from SC17 in Denver, Dan Reed moderates a panel discussion on HPC Software for Energy Efficiency. “This panel will explore what HPC software capabilities were most helpful over the past years in improving HPC system energy efficiency? It will then look forward; asking in what layers of the software stack should a priority be put on introducing energy-awareness; e.g., runtime, scheduling, applications? What is needed moving forward? Who is responsible for that forward momentum?”

HPC in Agriculture: NCSA and Syngenta’s Dynamic Partnership

In this video, Jim Mellon from Sygenta describes how the company’s partnership with NCSA is helping the company answer the agricultural challenges of the future. “Together, we’re solving some of the toughest issues in agriculture today, like how to feed our rapidly growing population knowing that the amount of land we have for growing crops is finite. NCSA Industry provides the HPC resources that Syngenta’s scientists need to solve these issues, as well as an industry focus on security, performance, and availability, with the consultancy to better understand how to maximize these resources.”

Video: Best Practices between HPC centers and Industrial Users

Bill Kramer from NCSA gave this talk at the HPC User Forum in Milwaukee. “NCSA and Hyperion Research released a new study that examines HPC and Industry partnerships. Aimed at identifying and understanding best practices in partnerships between public high performance computing centers and private industry, the study aims to promote the vital transfer of scientific knowledge to industry and the important transfer of industrial experience to the scientific community.”

Illinois Supercomputers Tag Team for Big Bang Simulation

Researchers are tapping Argonne and NCSA supercomputers to tackle the unprecedented amounts of data involved with simulating the Big Bang. “Researchers performed cosmological simulations on the ALCF’s Mira supercomputer, and then sent huge quantities of data to UI’s Blue Waters, which is better suited to perform the required data analysis tasks because of its processing power and memory balance.”

NCSA Industry Conference to Showcase Supercomputing Partnerships

Registration is now open for the 2017 NCSA Industry Conference. The event takes place Oct. 11-12 on the University of Illinois at Urbana-Champaign campus. “This year’s conference provides attendees with the opportunity to experience the transformative power of high performance computing and big data as we showcase how the NCSA Industry Program is giving industry and government a competitive edge. Attendees will also get an exclusive look at new resources and collaboration opportunities, the chance to network with business leaders and domain experts, meet the future generation of HPC experts at our student reception, and hear several ground-breaking success stories of how NCSA is enabling computational breakthroughs and changing the world again.