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GTC ON-DEMAND

Visual Computing Theater
Presentation
Media
Real-Time & Interactive Visualization of Billions of Data-Points with a Distributed GPU Database
Abstract:

Most of what claims to be interactive visualization of big datasets relies on one of two strategies: pre-canning and sampling. However, both of these techniques have well-known limitations. Enter Map-D, a distributed end-to-end data analytics and visualization platform that can run on any number of GPUs, allowing millisecond query latencies over multi-terabyte datasets. In addition to supporting ultra-fast relational table and array querying, Map-D uses the native graphics pipeline of the GPU to render 2D and 3D visualizations of the results. By streaming these visualizations to a user''s browser via interactive 30fps H264 video, it can appear as if billions of data points are in the DOM, even on low-powered mobile clients.

 
Topics:
Visual Computing Theater
Type:
Talk
Event:
SIGGRAPH
Year:
2014
Session ID:
SIG4151
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