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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. Lakhotia, Kartik; Kannan, Rajgopal; Prasanna, Viktor K., Accelerating PageRank using Partition-Centric Processing, USENIX Annual Technical Conference (USENIX ATC 18), 2018

  2. 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

  3. 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

  4. Zhou, Shijie; Kannan, Rajgopal; Yu, Min; Prasanna, Viktor K., FASTCF: FPGA-based Accelerator for Stochastic-Gradient-Descent-based Collaborative Filtering, ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, pp 259–268, 2018 (Best Paper Award)

  5. Zeng, Hanqing; Chen, Ren; Zhang, Chi; Prasanna, Viktor K., A Framework for Generating High Throughput CNN Implementations on FPGAs, ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, pp 117–126, 2018 (Best Paper Nominee)

  6. Chen, Ren; Prasanna, Viktor K., Computer Generation of High Throughput and Memory Efficient Sorting Designs on FPGA, IEEE Transactions on Parallel and Distributed Systems, Vol 28, pp 3100–3113, 2017

  7. Tong, Da; Qu, Yun R.; Prasanna, Viktor K., Accelerating Decision Tree Based Traffic Classification on FPGA and Multicore Platforms, IEEE Transactions on Parallel and Distributed Systems, Vol 28, pp 3046–3059, 2017

Data Science  
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. Lazaris, Angelos; Prasanna, Viktor K., DeepFlow: A Deep Learning Framework For Software-defined Measurement, ACM Cloud-Assisted Networking Workshop (CAN 17), 2017

  7. Cheung, Chung Ming; Goyal, Palash; Prasanna, Viktor K.; Tehrani, Arash Saber, OReONet: Deep Convolutional Network for Oil Reservoir Optimization, IEEE International Conference on Big Data (IEEE BigData ), 2017

Complete List of Publications: [Click here for the Google Scholar page]