I am a Senior Deep Learning Software Engineer on the TensorRT team at NVIDIA, working on machine learning systems, compilers, and performance optimization.
I received my Ph.D. in Computer Engineering from Purdue University in December 2021.
Experience
Deep Learning Software Engineer @ NVIDIA (2022 - now)
TensorRT for high-performance deep learning inference on NVIDIA GPUs.
Research Asisstant @ Purdue University (2015 - 2021)
System support for machine learning and real-time data analytics by exploiting modern hardware, e.g., many-core CPUs, hybrid memory (DRAM + 3D-stacked memory), and tiny microcontrollers, aiming to improve system performance and enable new use cases.
Research Intern @ Microsoft Research (2017 - 2017)
System support for stream processing on high-bandwidth memory.
Publications
Systems Support for Data Analytics by Exploiting Modern Hardware Hongyu Miao
PhD Dissertation, Purdue University
West Lafayette, IN, December 2021
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Towards Out-of-core Neural Networks on Microcontrollers Hongyu Miao and Felix Xiaozhu Lin
The 7th ACM/IEEE Symposium on Edge Computing (SEC 2022)
Seattle, WA, December 2022
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] Best Paper Award
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, and Felix Xiaozhu Lin
The 24th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019)
Providence, RI, April 2019
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StreamBox: Modern Stream Processing on a Multicore Machine Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, and Felix Xiaozhu Lin
The 2017 USENIX Annual Technical Conference (USENIX ATC 2017)
Santa Clara, CA, July 2017
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Tell Your Graphics Stack That the Display Is Circular Hongyu Miao and Felix Xiaozhu Lin
The 17th International Workshop on Mobile Computing Systems and Applications (HotMobile 2016)
St. Augustine, FL, February 2016
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