Jiazhen Han
Senior Deep Learning Architect @ NVIDIA
United States
Greater Seattle Area
Computer Hardware
Software Development, C++, Linux, Python, CUDA, High Performance Computing (HPC)
Experience
Senior Deep Learning Architect
NVIDIA
United States
Inference Architecture
Deep Learning Architect
NVIDIA
United States
Inference Architecture
Teaching Assistant
New York University
United States
ECE 6913 Computer Systems Architecture
Research Assistant
New York University
Ported the iot-inspector to Linux and Raspberry Pi @ NYU mLab.
Deep Learning Performance Architect Intern
NVIDIA
United States
- Studied how a new type of prefetch mechanism can help DL inference, especially for the MLPerf-inference related networks. - Studied how the different optimizations enabled by CUDA Graphs can help the inference workloads, and what can we do to make it even faster. - Worked on a standalone Bert inference application, tried lots of crazy ideas that may bring better small batch performance on it.
GPU Compute Architect
NVIDIA
Shanghai City, China
- Worked as a deep learning performance architect optimizing the performance of DL networks on NVIDIA's platform, including GPU servers and autonomous driving SoCs. - Constructed, calculated and prototyped new ideas that can bring better DL performance, mainly for DL inference operations that involve GPU grid-level concurrency (e.g. concurrent inferences, parallel branches, grouped operations, etc.). - Compiled the ideas, data, and prototypes into recipes for DL software teams (e.g. TensorRT, cuDNN, driver teams).
Education
New York University
Computer Engineering
Jilin University
Computer Science
Jiazhen Han's Contact Information
Phone
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