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The funding information displayed below comes from the
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NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
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High-probability grants
According to our matching algorithm, Thomas H. Cormen is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1993 — 1996 |
Cormen, Thomas |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Research Initiation Award: Virtual Memory For Data-Parallel Computing
The project implements a virtual-memory system for data-parallel computing by taking advantage of the technical advances in algorithms for parallel disk systems. Such a system will benefit parallel computing in many scientific and other application areas by making it simpler and faster to run code on objects that are several gigabytes or even larger. Typically, when the memory requirements of an application exceed the available random-access memory on parallel machines, programmers keep their data on a parallel disk system and perform disk accesses in their source code. The resulting codes are difficult to develop and often run slowly. The proposed system will help avoid the additional software development time and complexity associated with such large problems. Moreover, because the system employs recent advances in algorithms for planning parallel disk accesses, it runs more efficiently. The project entails the design and implementation of an appropriate set of primitive data-parallel operations in a virtual-memory context. The implementation may include further development of efficient algorithms for parallel disk systems. In addition, the project includes the development of one or more compilers that compile languages such as Fortran and C into these primitives.
|
0.915 |
2012 — 2017 |
Farid, Hany (co-PI) [⬀] Campbell, Andrew Bailey-Kellogg, Christopher Cormen, Thomas |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Ii-En: Gridiron
GridIron is a computing grid resource for the Dartmouth computer science department, enabling cutting-edge research and training in a wide range of projects involving analysis of large quantities of data and search over large, complex spaces. In computational structural biology, researchers are developing and applying methods to search protein conformation spaces, to systematically decompose the protein structure universe, and to model and design protein-protein interactions for specificity. In computer vision, researchers are developing and applying methods to authenticate digital images and to perform large-scale image search. Other significant areas of investigation include large-scale smartphone sensing, latency mitigation, and malware detection. The grid is also an asset for Digital Arts projects and research, including information visualization for large data sets and real-time rendering for motion capture. Finally, the grid supports a number of education and outreach activities, including non-major, undergraduate, and graduate courses and a summer camp for high school students. It provides invaluable practical experience in the use of large-scale computation in solving difficult challenges in the analysis of massive data sets.
|
0.915 |