October 28–31, 2019
Neil Truong
Senior Field Application Engineer, NVIDIA
Neil Truong is a senior field application engineer at NVIDIA with expertise in system management and hardware architecture focused on GPU DL and ML application. He’s supporting the Google platform team to deploy the next-generation GPU hardware and software. He has experience in system on a chip (SoC) and system-level testing process and has managed GPU system design from concept to production.
Sessions
11:50am–12:30pm Wednesday, October 30, 2019
Location: Grand Ballroom G
Neil Truong (NVIDIA),
Kari Briski US (NVIDIA),
Khoa Ho (NVIDIA)
Neil Truong, Kari Briski, and Khoa Ho walk you through their experience running TensorFlow at scale on GPU clusters like the DGX SuperPod and the Summit supercomputer. They explore the design of these large-scale GPU systems and detail how to run TensorFlow at scale using BERT and AI plus high-performance computing (HPC) applications as examples.
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