Tags » Cuda

NVIDIA CUDA on Fedora 20 x86-64 with NVIDIA Optimus

So after weeks of experimentation, and frustration, I think I have finally gotten CUDA to work on my MSI GE 70 2OE-071 laptop. As you may know, NVIDIA Optimus is a technology that enables power-sharing and switching between Intel HD and NVIDIA GPUs on laptops. 373 more words


The Answer to Life lies in your GPU

Hey guys, do you know that pi(22/7) is a non terminating and non repetetive no. As a matter of fact pi contains every possible combination of numbers. 166 more words


Your GPU can do Massive Super Computing

In the last post I told you about what’s CUDA and basics of programming it.
Check it out if you didn’t read it. Its a must read before reading this tutorial. 456 more words


What's CUDA?

What it is?

CUDA stands for Compute Unified Device Architecture. It is actually an extension of C language which gives developers the access to virtual instruction set and Memory of GPU.The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. 499 more words


Gearing Up for CUDA S, GTC 2014 Turned Focus to Developer Education

We’re always looking for new ways to make parallel programming easier and more accessible.
In addition to enhancing the CUDA Toolkit with new performance and usability features, we also look for opportunities to give developers in-depth info and training. 13 more words

GPU implementation of Stam's implicit fluid solver using CUDA

Updated 20/04/2014: Video capture

In this project I wanted to investigate and demonstrate the effectiveness of using Compute Unified Device Architecture code to implement graphical simulations and update visual representations with effective optimization and understanding of graphics memory architecture. 288 more words


How to ignore unrecognized GCC pragma warning of CUDA


You have a GCC pragma in your CUDA code to ignore a specific warning produced by your code. While the GCC compiler uses this for the C++ section of the code, the CUDA compiler frontend complains about it with a warning: 48 more words