DEVELOPER BLOG

Tag: CUDACasts

Artificial Intelligence

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
Accelerated Computing

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
Accelerated Computing

CUDACasts Episode 19: CUDA 6 Guided Performance Analysis with the Visual Profiler

One of the main reasons for accelerating code on an NVIDIA GPU is for an increase in application performance. This is why it's important to use the best tools… < 1
Accelerated Computing

CUDACasts Episode 18: CUDA 6.0 Unified Memory

CUDA 6 introduces Unified Memory, which dramatically simplifies memory management for GPU computing. Now you can focus on writing parallel kernels when porting… < 1
Accelerated Computing

CUDACasts Episode 17: Unstructured Data Lifetimes in OpenACC 2.0

The OpenACC 2.0 specification adds unstructured data lifetime support to provide more flexibility in accelerating code, including C++ classes. < 1
Accelerated Computing

CUDACasts Episode 16: Thrust Algorithms and Custom Operators

Continuing the Thrust mini-series (see Part 1), today's episode of CUDACasts focuses on a few of the algorithms that make Thrust a flexible and powerful… < 1