Search Results for author: Jon Calhoun

Found 2 papers, 1 papers with code

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

2 code implementations19 Jul 2020 Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello

To the best of our knowledge, cuSZ is the first error-bounded lossy compressor on GPUs for scientific data.

Distributed, Parallel, and Cluster Computing

Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy

no code implementations27 Aug 2018 Mizanur Rahman, Mhafuzul Islam, Jon Calhoun, Mashrur Chowdhury

We utilize a lossy compression technique on traffic camera data to determine the tradeoff between the reduction of the communication bandwidth requirements and a defined object detection accuracy.

Edge-computing object-detection +2

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