Our paper "Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform" received Outstanding Student Paper Award in the 2021 IEEE High Performance Extreme Computing Virtual Conference (HPEC), 2021.
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Our proposal "SaTC: CORE: Small: Accelerating Privacy Preserving Deep Learning for Real-time Secure Applications" has been funded by the U.S. National Science Foundation. PI: Viktor Prasanna. Co-PI: Sanmukh Kuppannagari.
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