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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Led by Dr. Viktor K. Prasanna
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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…
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Our paper “RecANt: Network-based Recruitment for Active Fake News Correction” has been accepted at 2019 IEEE International Conference on Big Data (Big Data). This paper…
Our paper “Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation” has been accepted by ACM BuildSys 2019. This paper proposes a…
Our Paper “Deep Learning Models For Aggregated Network Traffic Prediction” has been accepteed at IEEE/IFIP International Conference on Network and Service Management (CNSM 2019), 2019.…
Our paper “Minimizing Cost of Smart Grid Operations by Scheduling Mobile Energy Storage Systems” has been accepted at IEEE Letters of the Computer Society, 2019.…
Our paper “On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation” has been accepted at Proceedings of the 27th ACM SIGSPATIAL International Conference on…
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The graduation party for Sanmukh Kuppannagari, Ajitesh Srivastava, and Shijie Zhou was held on Saturday, September 29th. The venue was El Torito in Santa Monica.
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PhD Candidate Shijie Zhou successfully defended his PhD Dissertation titled Architecture Design and Algorithmic Optimizations for Accelerating Graph Analytics on FPGA. The defense committee consisted…
Our paper “Accelerating PageRank using Partition-Centric Graph Processing” has been accepted as a full paper at USENIX ATC ’18. This paper describes a cache and…