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

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

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

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

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

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