joint institute for computational sciences News

New NSF Award Supports Continued Operations at JICS

The Joint Institute for Computational Sciences, a partnership between UT and ORNL, has received $3 million in new funding from the National Science Foundation to continue to provide advanced computing resources through July 2016.

Computational Science Program Brings Students From US, China

Nine students from the United States and China are on campus this week for Computational Sciences for Undergraduate Research Experiences, a summer internship program focused on developing knowledge and skills to use advanced computing in research.

UT Student Earns Princeton in Asia Fellowship to Work at Myanmar Newspaper

RJ-Vogt

R. J. Vogt, a Haslam Scholar and senior in the College Scholars program, has won a Princeton in Asia fellowship that will allow him to spend at least a year working at a bilingual newspaper in the country of Myanmar. Vogt, of Nashville will leave in August to work at the Myanmar Times, a weekly newspaper that is transitioning to a daily. He’ll be living in Yangon, the city formerly known as Rangoon.

NICS Supercomputer Helps Recreate Universe’s Evolution

This composite image from the Illustris simulation is centered on the most massive galaxy cluster existing today. Photo courtesy of Illustris Collaboration.

An international team of researchers used resources at UT’s National Institute for Computational Sciences to develop components that would serve as the basis for “Illustris,” the most ambitious simulation of galaxy formation ever done. Illustris allows one to journey back and see in high detail our universe twelve million years after the Big Bang and then watch the cosmos evolve over a period of 13.8 billion years.

Supercomputer Research Finds Molecular Switch that Controls Cell Behavior

Using supercomputing power, researchers at Oak Ridge National Laboratory and the UT–ORNL Joint Institute for Computational Sciences have discovered a molecular “switch” in a receptor that controls cell behavior. The finding can help in medical drug development. To read more, visit ORNL’s website.

UT Receives Funding from Intel to Push Supercomputing Limits, Establish Center

Imagine going to the doctor and the doctor peering into your genetic code to determine the best medicine to treat what ails you. The campus has received funding from computer chip maker Intel to develop computer codes to make personalized medicine like this and other transformative scientific discoveries possible.

UT Network Infrastructure to Upgrade to 100G

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.

Summer Computational Science Experience for Undergraduates Begins

A ten-week summer project designed to provide promising undergraduate students experience in the research applications of computational science—and, in the process, become energized and encouraged about furthering their educations—is now underway at the Joint Institute for Computational Sciences.

New Leader Named to UT-ORNL Supercomputer Center

Tony Mezzacappa

Tony Mezzacappa, a leader in the field of astrophysics and supernova science, has been named director of the Joint Institute for Computational Sciences at UT and Oak Ridge National Laboratory. Mezzacappa is a world leader in computational astrophysics and a pioneer in the field of supernova science.

IOP Science: Publisher’s Pick

An article co-authored by UT’s Joint Institute of Computational Sciences and oak Ridge National Laboratory researchers has earned recognition from IOP Science. The article conveys details of the research team’s investigation of a physics-based method of DNA sequencing, which is intended to read the hereditary traits coded in human DNA.