CONTACT:RABI@CSE.TAMU.EDU
 

Data Analytic Codesign

Big data analysis is an emerging research area applied to diverse sectors and is ever growing. This calls for  smart system architectures to handle data acquisition, transmission, storage, and large scale data processing. Appropriate data analytic platform (using hardware and software), is required to understand various data dynamics and discover new results hidden there. We are looking into

  • Software defined data analytic architectures.
  • Recommender Systems.
  • Predictive and Prescriptive Models and Architectures.
  • Hardware Accelerator for data partitioning and preprocessing.

Sample Publications

  1. K. Lee, R. Bhattacharya, P. Sakuru*, J. Dass* and R. Mahapatra, “A Relaxed Synchronization Approach for Solving Parallel Quadratic Programming Problems with Guaranteed Convergence”, to appear in Proceedings of  30th IEEE International Parallel & Distributed Processing Symposium, Chicago, 2016. (Acceptance Rate 23%)
  2. A. Tripathy, A. Patra, S. Mohan and R. Mahapatra, “Distributed Collaborative Filtering on a Single Chip Cloud Computer”, in Proc. IEEE Intl. Conf. on Cloud Engineering (IC2E ’13), Mar. 25, 2013, San Francisco, CA, USA. (Acceptance Rate: 28%)
  3.  Aalap Tripathy*, Ka Chon Ieong*, Atish Patra*, Rabi N. Mahapatra: “A reconfigurable computing architecture for semantic information filtering. BigData Conference 2013: 212-218 ( Acceptance rate 20%)
  4. Aalap Tripathy, Suneil Mohan, Rabi Mahapatra, “Optimizing a Collaborative Filtering Recommender for Many-Core Processors”, in 6th IEEE International Conference on Semantic Computing (ICSC), September 19-21, 2012, Palermo, Italy, (Acceptance Rate: 25%)