Our paper “Accelerate large scale GCN inference on FPGA” has been accepted as a poster at the The 28th IEEE International Symposium On Field-Programmable Custom…
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Recently, Field Programmable Gate Arrays(FPGAs) have become a key computing platform to accelerate applications at data center, cloud, and at the “edge”. This course reviews…
GraphACT accepted at FPGA ’20
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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…
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…
The paper “Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware” has been nominated for Best Student Paper Award at the…
Our paper on “A Flexible Design Automation Tool for Accelerating Quantized Spectral CNNs” has been selected as one of the papers for Michal Servit Best…
PhD Graduation Party
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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.
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…