Kaiyu Guan, a NCSA Blue Waters professor at the University of Illinois, has been recognized by the American Geophysical Union for his work to combine supercomputers and satellite with agriculture and environmental sustainability.
Stream more than 85 talks from researchers from this year’s Blue Waters Symposium in Sunriver, Oregon.
Mone't Alberts was one of 18 undergraduate students from across the country to receive support for the 2017-2018 Blue Waters Student Internship Program.
NCSA's Blue Waters project is welcoming its fifth cadre of Blue Waters Graduate Fellows. We caught up with a few fellows from the past five years to talk about their experiences, and the impact of their Blue Waters Graduate Fellowship.
The internship pairs students with faculty mentors and a research project for them to tackle. Each student is given a stipend totaling $5,000, access to a two-week intensive high-performance computing workshop, and an education allocation on the Blue Waters system.
34 University of Illinois researcher teams awarded allocations on powerful Blue Waters supercomputerJun 11, 2018
The last-ever round of Illinois Allocations for computation time on NCSA’s Blue Waters supercomputer have been awarded, totalling more than 5.5 million node-hours, valued at nearly $3.7 million.
Prior GPU experience is not required, as those selected will be paired with experienced mentors who will teach them how to leverage accelerated computing in their own applications or further optimize their codes.
Ten graduate students from across the country have been awarded computation time, financial support, and dedicated staff expertise to advance their computational and data-intensive Ph.D. research on one of the most powerful supercomputers in the world -- Blue Waters.
Nine research projects from researchers at member institutions of the Great Lake Consortium for Petascale Computation (GLCPC) have been awarded over 4.3 million node-hours on NCSA’s Blue Waters supercomputer.
The Blue Waters project at NCSA has allocated over 3.7 million node-hours of computing resources to 21 research teams from across the country to broaden the diversity of the Blue Waters user community.
The new technique can distinguish crops with 95 percent accuracy by just two or three months after planting and well before harvest.
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