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GAANN: Exascale Computing in Science and Engineering

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Academic Level:
Graduate Students (PhD)

This research centers on the challenges involved in designing and developing exascale supercomputing. Exascale computing refers to computing capabilities representing a thousandfold increase over the currently existing petascale processing power. Exascale capability will enable the U.S. to maintain its leadership role during the petascale era and to continue to innovate in multiple industries, including aerospace, energy, healthcare, information technology and manufacturing, etc. The challenge to attain exascale capability is complex and involves technical hurdles such as exploiting massive parallelism at the algorithm level, coping with software run-time errors from a billion processing elements, efficient large-scale inter-processor and processor- memory communications, as well as reducing the power requirements for future hardware.

Fellowships are available for doctoral students. Student stipends are $30,000 per year and include a full tuition waiver and health benefits. Fellows must be U.S. citizens or permanent residents.

Participating Institution(s):
(Click an institution to see all programs it hosts)
University of Connecticut (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Bioinformatics & Genomics
Computational Sciences
Computer & Electrical Engineering
Computer Sciences

High Performance Computing
Scientific Computing

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This program is funded by:
U.S. Dept. of Education

Page last updated 7/18/2016
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