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Publications

Disclaimer: The following papers may have copyright restrictions. Downloads will have to adhere to these restrictions. They may not be reposted without explicit permission from the copyright holder. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the sponsors including National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), and any other sponsors listed in the publications.    
Selected Recent Publications [ Click here for a complete list]
Reconfigurable and Parallel Computing
    1. Zeng, Hanqing; Zhou, Hongkuan; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K, Accurate, Efficient and Scalable Graph Embedding, 33rd International Parallel and Distributed Processing Symposium (IPDPS), pp. 1–10, 2019
    2. Lakhotia, Kartik; Kanna, Rajgopal; Pati, Sourav; Prasanna, Viktor Accelerating PageRank using Partition-Centric Processing, Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming, pp. 393–394, 2019
    3. Lakhotia, Kartik; Kannan, Rajgopal; Gaur, Aditya; Srivastava, Ajitesh; Prasanna, Viktor K., Parallel Edge-based Sampling for Static and Dynamic Graphs, Proceedings of the 16th ACM International Conference on Computing Frontiers, pp. 125–134, 2019
    4. Zhou, Shijie; Kannan, Rajgopal; Prasanna, Viktor K.; Seetharaman, Guna; Wu, Qing, HitGraph: High-throughput Graph Processing Framework on FPGA, IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019
    5. Lakhotia, Kartik; Kannan, Rajgopal; Prasanna, Viktor K., Accelerating PageRank using Partition-Centric Processing, USENIX Annual Technical Conference (USENIX ATC 18), 2018
    6. Zhou, Shijie; Kannan, Rajgopal; Zeng, Hanqing; Prasanna, Viktor K., An FPGA Framework for Edge-Centric Graph Processing, Proceedings of the 15th ACM International Conference on Computing Frontiers, pp 69–77, 2018
    7. Tong, Da; Prasanna, Viktor K., Sketch Acceleration on FPGA and its Applications in Network Anomaly Detection, IEEE Transactions on Parallel & Distributed Systems, Vol 29, Issue 4, pp 929–942, 2018
  Data Science
    1. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Approximate Scheduling of DERs with Discrete Complex Injections, ACM International Conference on Future Energy Systems (ACM e-Energy), 2019
    2. Zhang, Chi; Kuppannagari, Sanmukh R.; Xiong, Chuanxiu; Kannan, Rajgopal; Prasanna, Viktor K, A Cooperative Multi-Agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling, ACM/IEEE conference on internet of things design and implementation (IoTDI), 2019
    3. Cheung, Chung Ming; Zhong, Wen; Xiong, Chuan Xi; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm), 2018
    4. Zhang, Chi; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids, IEEE International Conference on Smart Grid Communications (SmartGridComm), 2018
    5. Srivastava, Ajitesh; Petering, Robin; Kannan, Rajgopal; Rice, Eric; Prasanna, Viktor K., How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
    6. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., ASQFor: Automatic SPARQL query formulation for the non-expert, AI Communications, Vol 31, Issue 1, pp 19–32, 2018
    7. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Discrete Net Load Balancing in Smart Grids with High PV Penetration, ACM Transactions on Sensor Networks (TOSN), 2018
  Complete List of Publications: [Click here for the Google Scholar page]