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GTC ON-DEMAND

Computer Vision
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Euclidean Distance Transform on Xavier
Abstract:
We'll introduce and compare the performance of three distance-transform algorithms accelerated on NVIDIA's Xavier SoC. We will provide a close-up look at an algorithm that shows the math principle and the performance baseline and two algorithms that target different workloads and scenarios with different speedups. We'll use our comparisons to show how to choose the most practical acceleration scheme for embedded applications. We'll discuss distance transform on the PVA computer vision accelerator inside Xavier, and explain how its competitive performance allows users to offload the EDT task from GPUs. This process also offers more room for deep learning tasks.
 
Topics:
Computer Vision, Autonomous Vehicles, Performance Optimization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9165
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