Our paper “GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms” has been accepted as a full paper at the 28th ACM/SIGDA International Symposium on Field-Programmable…
GraphACT accepted at FPGA ’20
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Date archive for: December 2019
Our paper “Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration” has been accepted as a full paper at the 28th ACM/SIGDA…
Ph.D. Candidate Angelos Lazaris successfully defended his Ph.D. Dissertation titled Machine Learning for Efficient Network Management. The defense committee consisted of Professor Viktor K. Prasanna…