Cluster Computing Infrastructure for Large Scale Data and Text Analytics at UH
Abstract
The National Defense Authorization Act for Fiscal Year (FY) 2016 and the Department of Defense (DoD) Appropriations Act for 2015 allocated $20M to assist Historically Black Colleges and Universities and Minority-Serving Institutions (HBCU/MI). The program aims to (a) enhance research programs and capabilities in scientific and engineering disciplines critical to the national security functions of DoD; (b) enhance the capacity of HBCU/MI to participate in defense research programs and activities; and (c) increase the number of graduates, including underrepresented minorities, in field of science, technology, engineering, and mathematics (STEM) that are important to the defense mission. The FY 2016 DoD HBCU/MI Research and Education Program Broad Agency Announcement (BAA) solicited proposals from single investigators at HBCUs and MIs for the acquisition equipment and instrumentation in scientific areas important to one or more the three defense research offices, namely: Army Research Office (ARO); Office of Naval Research (ONR); and the Air Force Office of Scientific Research (AFOSR). In addition to supporting research for a 12-month period, each grant will support up to four students with tuition, stipends, fees, and other justified expenses. A typical scenario in natural language processing research is the need to process millions of small text documents where the processing can be done in parallel. Other common scenarios include the need to perform a grid search for the best parameters for a model, where multiple model configurations need to be tested. The proposed work is that of large scale text and data analytics for mining information such as sentiment. The computing cluster while housed in the Department of Computer Science will be thrown open to School of Business and researchers in related areas. The new infrastructure will complement existing infrastructure at the University of Houston. Students at all levels, undergraduate and graduate, will be exposed to large scale text and data analytics concepts and techniques through the research and instructional activities envisioned by this project.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610422
Entities
People
- Rakesh Verma
Organizations
- Army Contracting Command
- Office of the Secretary of Defense
- University of Houston