Mark Ebersole

As CUDA Educator at NVIDIA, Mark Ebersole teaches developers and programmers about the NVIDIA CUDA parallel computing platform and programming model, and the benefits of GPU computing. With more than ten years of experience as a low-level systems programmer, Mark has spent much of his time at NVIDIA as a GPU systems diagnostics programmer in which he developed a tool to test, debug, validate, and verify GPUs from pre-emulation through bringup and into production. Before joining NVIDIA, he worked for IBM developing Linux drivers for the IBM iSeries server. Mark holds a BS degree in math and computer science from St. Cloud State University.

Posts by Mark Ebersole

Simulation / Modeling / Design

CUDACasts Episode 21: Porting a simple OpenCV sample to the Jetson TK1 GPU

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.... 1 MIN READ
Simulation / Modeling / Design

CUDACasts Episode 20: Getting started with Jetson TK1 and OpenCV

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... 1 MIN READ
Simulation / Modeling / Design

CUDA 101: Get Ahead of the CUDA Curve with Practice!

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... 5 MIN READ