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Codesign Embedded Systems

Texas A&M University College of Engineering

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

  • J Dass*, V. Sarin and R. Mahapatra, “Fast and Communication-efficient Algorithm for Distributed Support Vector Machine Training”, IEEE Trans. Parallel & Distributed Systems., Vol.30, Issue 5, pp. 1065-1076 May 2019. 
  • D Dang, SA Hasnain, R Mahapatra, “MReC: A Multilayer Photonic Reservoir Computing Architecture,” 20th International Symposium on Quality Electronic Design (ISQED), pp.170-175, 2019.
  • J Dass*, V. N. S. P. Sakuru , V. Sarin, R. N. Mahapatra,“Distributed QR decomposition framework for training Support Vector Machines” 37th IEEE International Conference on Distributed Computing Systems (ICDCS’17), Atlanta, GA, USA on June 5 – 8, 2017 (16.9% acceptance rate).
  • K. Lee, R. Bhattacharya, P. Sakuru*, J. Dass* and R. Mahapatra, “A Relaxed Synchronization Approach for Solving Parallel Quadratic Programming Problems with Guaranteed Convergence”, Proceedings of  30th IEEE International Parallel & Distributed Processing Symposium, pp.182-191, Chicago, 2016. (Acceptance Rate 23%)
  • 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%)
  •  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%)
  • 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%)

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