Drs. Gobbert, Neerchal, Peercy, and Adragni have secured an additional 3-year funding from the National Science Foundation in support of UMBC's Research Experiences for Undergraduates—Interdisciplinary Program in High Performance Computing. This is NSF's second renewal of this REU.
Growing from 9 participants in 2010, the 2015 program's new record of 33 participants selected from more than 170 applicants from around the nation, included 8 students through a partnership with the UMBC Meyerhoff Scholars Program.
The program, which has trained 105 participants in its 6 years to date, including a significant number of underrepresented minorities, is currently funded at the rate of $350k per year from the NSF, NSA, and DOD.
After an intensive training in scientific, statistical, and parallel computing, the undergraduate researchers work in teams, with support from graduate assistants and faculty mentors, on interdisciplinary research projects posed by scientists from industry, government agencies, or departments outside of Mathematics and Statistics.
The program, which addresses the urgent need to train more researchers with competencies in interdisciplinary research, high-performance computing, and big data, works in collaboration with the Center for Interdisciplinary Research and Consulting and uses the state-of-the-art 240-node parallel computing cluster maya in the UMBC High Performance Computing Facility.
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Growing from 9 participants in 2010, the 2015 program's new record of 33 participants selected from more than 170 applicants from around the nation, included 8 students through a partnership with the UMBC Meyerhoff Scholars Program.
The program, which has trained 105 participants in its 6 years to date, including a significant number of underrepresented minorities, is currently funded at the rate of $350k per year from the NSF, NSA, and DOD.
After an intensive training in scientific, statistical, and parallel computing, the undergraduate researchers work in teams, with support from graduate assistants and faculty mentors, on interdisciplinary research projects posed by scientists from industry, government agencies, or departments outside of Mathematics and Statistics.
The program, which addresses the urgent need to train more researchers with competencies in interdisciplinary research, high-performance computing, and big data, works in collaboration with the Center for Interdisciplinary Research and Consulting and uses the state-of-the-art 240-node parallel computing cluster maya in the UMBC High Performance Computing Facility.
