Acquisition of High Performance Computing and Large Storage Instruments to Enhance Research and Education in Big Data Science and Artificial Intelligence at PVAMU
Abstract
Today's military analysts are faced with the monumental and escalating task of handling massive volumes of complex data from various sources. In order to enhance the research and education in big data analytics and artificial intelligence (AI) at Prairie View A and M University (PVAMU, an HBCU), and contribute to DOD missions, a multidisciplinary team of researchers from the big data research center (CREDIT) and center for computational systems biology (CCSB) propose to acquire 1) a Dell EMC Isilon H400 Hybrid NAS Storage System to host large and diverse datasets; and 2) IBM Power System Inference Compute Server (IC922) which delivers unprecedented performance for modern big data analytics and AI. The acquisition and development of the proposed big data computing testbed will allow us to support many ongoing research projects, create new projects, strengthen and broaden big data and AI research activities at PVAMU, and foster collaborations. It will help provide students, especially underrepresented minorities, obtaining unique hands-on experience and expertise in the entire range of AI and big data processing techniques, where training of highly skilled workforce is critical to DOD missions. RPPR Final Report as of 12-Jul-2022Accomplishments: During this funding period, the team has worked with the teams from IBM and DELL to acquire the proposed large data storage system from DELL and high performance computing AC922 servers from IBM. We have successfully acquired and installed the systems in the labs of the Electrical Engineering Building at Prairie View A and M University as planned. Faculty researchers and students have been using them for their research projects and thesis research.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 18, 2022
- Accession Number
- AD1193200
Entities
People
- John Fuller
- Lei Huang
- Lijun Qian
- Seungchan Kim
- Xiangfang Li
- Xishuang Dong