Abstract
Computers commonly process data and do simulations these days at rates of gigaflops (109 floating-point operations per second). In the next few years teraflop (1012 flops) computers will open an age in which we can study physics in new parameter domains, providing insights that may lead to new discoveries. These teraflop computers will be massively parallel, involving hundreds if not thousands of coupled processors tackling problems involving trillions of data points. To make effective use of these new resources will require new ideas about which problems should be solved, what numerical algorithms should be used to solve them, and what visualization and quantification methods should be used to enable scientists to comprehend and analyze the vast amounts of data that will be generated.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
