National Public Radio featured the sequestration effects on research by Governor’s Chair for Molecular Biophysics Jeremy Smith and graduate student Sally Ellingson who use Oak Ridge National Laboratory’s supercomputer, Titan. Grant agencies like the National Science Foundation are only funding roughly 1 in 5 of the proposals it receives now, reported NPR. Smith said he’s
Cellulase enzymes found in nature from sources such as wood-degrading fungi or in cows’ stomach compartments form one of the key catalysts for breaking down plant biomass to make biofuels. But, they remain quite expensive. Compute allocations from the Extreme Science and Engineering Discovery Environment (XSEDE) have made a breakthrough possible that could have big cost implications.
Jack Dongarra, distinguished professor of computer science in the College of Engineering, is being honored for his leadership in high performance computing. He will receive the Association for Computing Machinery-Institute for Electrical and Electronics Engineers Computer Society Ken Kennedy Award on November 19 in Denver at SC13, the International Conference on High Performance Computing.
The UT–Oak Ridge National Laboratory Joint Institute for Computational Sciences—and UT’s Office of Information Technology—have announced final plans to upgrade the bandwidth of UT’s wide area network for research and education to 100 gigabit per second (100G) capability by July 2014. This project makes UT an early adopter of the technology and will improve a wide range of big data and other science data flows.
The Earth has a shield which can protect it from damaging solar particles. However, this shield can be infiltrated and the result can be a disruption of power grids and communications networks, and radiation on Earth. Researchers using supercomputers at the National Institute for Computational Sciences are creating a topological map of Earth’s magnetosphere, allowing them to closely study how space weather affects our magnetosphere.
As disease progresses over space and time in the body, high-resolution imaging can capture the changes taking place down to the sub-cellular level; meanwhile, huge sets of hereditary (genomic) information hold clues about the dynamics of illness. Comparing certain characteristics in the images with genomic and clinical data may be key in predicting disease progression and in targeting new treatments. The current work of a research team at UT’s National Institute for Computational Sciences revolves around making those very connections.
Jack Dongarra, distinguished professor of computer science at UT is designing software that will be critical in making the next generation of supercomputers operational. For decades, supercomputers have been tackling the world’s most pressing challenges, from sequencing the human genome to predicting climate changes. But their power is limited and thus, so is our knowledge.
The way the power of supercomputers is measured is about to change. Since 1993, Jack Dongarra, distinguished professor of computer science at UT has led the ranking of the world’s top 500 supercomputers. The much-celebrated bi-annual TOP500 list is compiled using Dongarra’s benchmark system, called Linpack. But Dongarra says Linpack hasn’t kept pace with supercomputing needs and must be updated.
An article in The Times of India features China’s Tianhe-2 supercomputer, aka Milkyway-2, which recently measured at speeds of nearly 31 petaflops surpassing the current record holder by 74 percent, Ars Technica. The numbers were revealed by distinguished computer science professor Jack Dongarra, who introduced the computer speed measuring Linpack benchmarks, and who helps compile
Using supercomputing resources provided by the National Institute for Computational Sciences, a research team has made discoveries using computer modeling and simulations that have overturned longstanding, widely held beliefs about black holes.