Viktor Prasanna - Selected Publications#
1. Reconfigurable Computing Models and Algorithms
An Optimal Sorting Algorithm on Reconfigurable Mesh, Juwook Jang, and Viktor K. Prasanna, International Symposium on Parallel Processing, 1992. Citations=183
2. FPGA Accelerators
Fast Regular Expression Matching Using FPGAs, Reetinder Sidhu and Viktor K. Prasanna, IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), 2001. Citations=837
High-Performance Reduction Circuits Using Deeply Pipelined Operators on FPGAs, Ling Zhou, Gerald R. Morris, Viktor K. Prasanna, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2007. Citations=94
Scalable Packet Classification on FPGA, Weirong Jiang and Viktor K. Prasanna, IEEE Transactions on Very Large Scale Integration (VLSI) Systems (Volume: 20, Issue: 9), 2011. Citations=155
High-Throughput and Energy-Efficient Graph Processing on FPGA, Shijie Zhou, Charalampos Chelmis and Viktor K. Prasanna, 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2016. Citations =71
Frequency Domain Acceleration of Convolutional Neural Networks on CPU-FPGA Shared Memory System, Chi Zhang and Viktor K. Prasanna, 25th ACM International Symposium on Field-Programmable Gate Arrays (SIGDA), 2017. Citations=133
Fast and Efficient Implementation of Convolutional Neural Networks on FPGA, Abhinav Podili, Chi Zhang, and Viktor K. Prasanna, 2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2017. Citations=51
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms, Hanqing Zeng and Viktor K. Prasanna, Proceedings of the 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020. Citations=37
3. Big Data and Data Science
Cloud-Based Software Platform for Big Data Analytics in Smart Grids, Yogesh Simmhan, Saima Aman, Alok Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou, and Viktor K. Prasanna, Computing in Science & Engineering, Volume: 15, Issue: 4), pages 38-47, 2013. Citations=311
GraphSAINT: Graph Sampling Based Inductive Learning Method, Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, and Viktor K. Prasanna, International Conference on Learning Representations (ICLR), pp. 1–19, 2020. Citations=215
