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GTC On-Demand

Accelerated Analytics
Presentation
Media
The Need for Speed: How the Auto Industry Accelerates Machine Learning with Visual Analytics
While GPU-accelerated analytics have already radically accelerated the speed of training machine learning models, data scientists and analysts still grapple with deriving insights from these complex models to better inform decision-making. The key: V ...Read More
While GPU-accelerated analytics have already radically accelerated the speed of training machine learning models, data scientists and analysts still grapple with deriving insights from these complex models to better inform decision-making. The key: Visualizing and interrogating black box models with a GPU-enabled architecture. Volkswagen and MapD will discuss how interactive, visual analytics are helping the automotive brand interactively explore the output of their ML models to interrogate them in real time, for greater accuracy and reduced biases. They'll also examine how applying the GPU Data Frame to their efforts has enabled them to accelerate data science by minimizing data transfers and made it possible for their complex, multi-platform machine learning workflows to run entirely on GPUs.  Back
 
Keywords:
Accelerated Analytics, NVIDIA Inception Program, Deep Learning and AI Frameworks, GTC Silicon Valley 2018 - ID S8468
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Autonomous Driving
Presentation
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Driving Telematics Analytics to Extreme Scale and Interactive Speed
According to a major car manufacturer, modern vehicles are collecting and sharing more than 25 gigabytes of data per hour, from dozens of sensors focused inside and outside the car. Compound that rate of collection across the growing fleets of c ...Read More

According to a major car manufacturer, modern vehicles are collecting and sharing more than 25 gigabytes of data per hour, from dozens of sensors focused inside and outside the car. Compound that rate of collection across the growing fleets of connected vehicles, and the automotive industry is facing a stiff new challenge: making hundreds of billions of location-intelligent data points comprehensible, actionable, and predictive. GPUs running OmniSci's extreme analytics platform are uniquely capable of solving this problem, with orders-of-magnitude faster SQL queries, and full-fidelity rendering on the GPU. In this talk, Aaron Williams will use a real-world example to share best practices for analyzing a large dataset of driving behavior, to lower risk and cultivate better drivers.

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Keywords:
Autonomous Driving, HPC and Supercomputing, GTC Europe 2018 - ID E8348
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Other
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Accelerate Analytics with a GPU Data Frame
While rapid innovation is occurring across the GPU software ecosystem, the platforms themselves still remain isolated from each other - until now. Todd Mostak, the CEO & Founder of MapD, will demo the GPU Open Analytics Initiative's (GOAI) first ...Read More
While rapid innovation is occurring across the GPU software ecosystem, the platforms themselves still remain isolated from each other - until now. Todd Mostak, the CEO & Founder of MapD, will demo the GPU Open Analytics Initiative's (GOAI) first project on stage - the GPU Data Frame (GDF) - and explain how this approach will enable efficient intra-GPU communication between different processes running on the GPUs.  Back
 
Keywords:
Other, GTC Israel 2017 - ID SIL7148
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