Mark Ebersole – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-05-22T22:51:32Z http://www.open-lab.net/blog/feed/ Mark Ebersole http://www.open-lab.net/blog/parallelforall <![CDATA[CUDACasts Episode 21: Porting a simple OpenCV sample to the Jetson TK1 GPU]]> http://www.open-lab.net/blog/parallelforall/?p=3943 2022-08-21T23:37:28Z 2014-10-13T20:16:41Z In the previous?CUDACasts?episode, we saw how to flash your Jetson TK1 to the latest release of Linux4Tegra, and install both the CUDA toolkit and OpenCV SDK....]]>

In the previous CUDACasts episode, we saw how to flash your Jetson TK1 to the latest release of Linux4Tegra, and install both the CUDA toolkit and OpenCV SDK. We’ll continue exploring the power efficiency the Jetson TK1 Kepler-based GPU brings to computer vision by porting a simple OpenCV sample to run on the GPU. We’ll explore computer vision further in a future CUDACast when we look at the…

Source

]]>
2
Mark Ebersole http://www.open-lab.net/blog/parallelforall <![CDATA[CUDACasts Episode 20: Getting started with Jetson TK1 and OpenCV]]> http://www.open-lab.net/blog/parallelforall/?p=3595 2022-08-21T23:37:08Z 2014-08-28T13:00:57Z The Jetson TK1 development kit has fast become a must-have for mobile and embedded parallel computing due the amazing level of performance packed into such a...]]>

The Jetson TK1 development kit has fast become a must-have for mobile and embedded parallel computing due the amazing level of performance packed into such a low-power board. In this and the following CUDACast, you’ll learn how to get started building computer vision applications on your Jetson TK1 using CUDA and the OpenCV library. CUDACasts are short how-to screencast videos about new…

Source

]]>
3
Mark Ebersole http://www.open-lab.net/blog/parallelforall <![CDATA[CUDA 101: Get Ahead of the CUDA Curve with Practice!]]> http://www.parallelforall.com/?p=83 2023-05-22T22:51:32Z 2012-06-11T23:26:52Z After a recent talk I gave called "CUDA 101:?Intro to GPU Computing", a student asked "What's the best way for me to get experience in parallel programming and...]]>

After a recent talk I gave called “CUDA 101: Intro to GPU Computing”, a student asked “What’s the best way for me to get experience in parallel programming and CUDA?”. This is a question I struggled a lot with when I was in college and one I still ask myself about various topics today. The first step is to realize that it’s hard to get useful experience without having some skill in an area.

Source

]]>
0
���˳���97caoporen����