"Exascale computing - capable of one quintillion floating point operations per second - will enable us to solve problems in ways that are not feasible today and will result in significant scientific breakthroughs", stated Jack Dongarra, of the Department of Electrical Engineering and Computer Science. "However, the transition to exascale poses numerous scientific and technological challenges."
Jack Dongarra, one of five National Academy of Engineering members on the faculty of UT's College of Engineering, said that increased funding for the development of new models and ways of gathering data is key to unlocking a number of those challenges.
Making a commitment to the goal of keeping the United States a leader in the field should be the first task, according to JAck Dongarra, a leading figure in tracking and ranking the world's fastest computers and head of the Innovating Computing Laboratory at UT.
The report - "Applied Mathematics Research for Exascale Computing" - lays out some groundwork for emphasizing higher-level mathematics and increasing the pool of researchers involved.
"Advances in applied mathematics will be essential in order to produce high-performance applications", stated Jack Dongarra. "But to take advantage of that, it will be critical to increase the number of researchers trained in both applied mathematics and high-performance computing."
As important as those areas are to the success of the project, Jack Dongarra pointed out that the ability of researchers from various backgrounds to work together will also be vital.
"Computer scientists, applied mathematicians, and application scientists will all need to work closely together", stated Jack Dongarra. "It will prove vital to produce an environment where we can exploit the computational resources that will be available at the exascale level."
The report can be viewed on-line .