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Introduction

Date: Tuesday, June 30 2020
Time: 10:00am – 11:00am PT
Duration: 1 hour


We'll introduce HugeCTR, an open source, GPU-accelerated click-through rate training framework. CTR estimation is a large-scale learning problem that's essential to the online advertising and content feed industry. Unlike traditional deep learning tasks, CTR training requires terabyte-sized embedding tables, massive I/O, and dynamic feature vocabulary. HugeCTR addresses all of these challenges while achieving up to 114x speedup over existing CPU and hybrid CPU/GPU solutions. HugeCTR is an end-to-end training solution with all computations performed on the GPU, leaving I/O to the CPU. The GPU hash tables support dynamic feature vocabulary. It leverages message-passing interface for multi-node training to support arbitrary large embedding sizes. It also supports mixed precision training, exploiting tensor cores on Volta and its successors.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Minseok Lee

Developer Technology Engineer, NVIDIA

Minseok Lee is a developer technology engineer at NVIDIA. His main role is to analyze and optimize ML or HPC applications to improve their end-to-end performance on GPUs. Before joining NVIDIA, Minseok worked as a C++ library developer. In graduate school, he studied how to efficiently utilize GPU resources for CUDA workloads.

Zehuang Wang

DevTech Engineer, NVIDIA

Zehuan (Joey) Wang is a senior engineer at NVIDIA. He has been working as developer technology engineer for seven years. Since 2014, he has mainly worked on deep learning, and he led the development of HugeCTR and RnnEngine. Before that, Joey worked on intelligent video analysis and particle simulation in HPC.

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Date & Time: Wednesday, April 22, 2018