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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. Zhou, Shijie; Kannan, Rajgopal; Prasanna, Viktor K., Accelerating Stochastic Gradient Descent Based Matrix Factorization on FPGAIEEE Transactions on Parallel and Distributed Computing, 2020
    2. Meng, Yuan; Kuppannagari, Sanmukh; Prasanna, Viktor K., Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous PlatformsThe 28th IEEE International Symposium On Field-Programmable Custom Computing Machines, 2020
    3. Zeng, Hanqing; Prasanna, Viktor, GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous PlatformsACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020
    4. Niu, Yue; Kannan, Rajgopal; Srivastava, Ajitesh; Prasanna, Viktor, Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN AccelerationACM/SIGDA International Conference on Field-Programmable Gate Arrays, 2020
Data Science
    1. Zeng, Hanqing; Zhou, Hongkuan; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor, GraphSAINT: Graph Sampling Based Inductive Learning Method, International Conference on Learning Representations (ICLR), pp. 1–19, 2020
    2. Srivastava, Ajitesh; Lazaris, Angelos; Brooks, Benjamin; Kannan, Rajgopal; Prasanna, Viktor K., Predicting memory accesses: the road to compact ML-driven prefetcherProceedings of the International Symposium on Memory Systems – MEMSYS ’19, pp. 461-470, 2019
    3. 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
    4. 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
  Complete List of Publications: [Click here for the Google Scholar page] Complete List of Publications: [Click here for the Google Scholar page]