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University of Wisconsin–Madison
Research into novel solutions to complex computing problems

Submissions Accepted in FPGA’17

1. Jialiang Zhang, et al. “Boosting the Performance of FPGA-based Graph Processor using Hybrid using Hybrid Memory Cube: A Case for Breadth First Search” accepted as FULL paper.

2. Jialiang Zhang, et al. “Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network” accepted as FULL paper.

3. Yue Zha, et al. – “A Data-Centric Mixed-Signal Reconfigurable Architecture enabled by RRAM Technology” accepted as poster.