Blogs

GPU Giddy – Excitement Building for GTC

Submitted by melonakos on Thu, 09/02/2010 - 14:57 CST CST

GTC is coming up…

Compiling a CUDA project with CMake on a Mac

Submitted by diegopark on Sun, 08/15/2010 - 23:41 CST CST

So it turned out that compiling a CUDA-based CFD project I was working on was a bit harder to set up than expected...

How to best achieve encapsulation on the GPU?

Submitted by coleb on Thu, 07/29/2010 - 13:27 CST CST

I wrote a blog about the issues we're seeing writing good maintainable software for the GPU.

Performance of sqrt in CUDA

Submitted by Caleb Johnson on Thu, 07/08/2010 - 21:43 CST CST

 

Optimizing CUDA programs for GTX 400 series

Submitted by Caleb Johnson on Thu, 07/08/2010 - 21:38 CST CST

Optimizing CUDA programs for GTX 400 series

 

Parallel Panorama

Submitted by Caleb Johnson on Thu, 07/08/2010 - 20:30 CST CST

CUDA Tutorial

 

NVIDIA Tesla C2050 Demonstration Unit (VPAC, Melbourne)

Submitted by Paul McIntosh on Fri, 06/04/2010 - 04:41 CST CST

VPAC, with sponsorship of Xenon Systems, has brought the node Enrico on-line for member users to evaluate.

Accelerating FORTRAN 90 Applications

Submitted by abusufah on Wed, 04/21/2010 - 15:50 CST CST

I have a student who wants to work on a project to accelerate kernels in WIEN2K.

CUDASW++2.0 published

Submitted by asbschmidt on Tue, 04/20/2010 - 01:22 CST CST

CUDASW++2.0: A significantly improved version of CUDASW++ is now available via: http://www.biomedcentral.com/1756-0500/3/93/abstract

"A Breadth-First Course in Multicore and Manycore Programming"—Sonoma State

Submitted by jowens on Fri, 04/09/2010 - 16:33 CST CST

Suzanne Rivoire from Sonoma State recently taught an undergraduate course on multicore/manycore programming.

Compartmental modeling on GPUs?

Submitted by Alon Korngreen on Tue, 03/16/2010 - 04:19 CST CST

What is the current overlap between computational neuroscience and GPU computing? Well, not that much. Definitely smaller than in fields such as bioinformatics. I suspect th

Presenting Aarhus University branch of GPU Computing Denmark

Submitted by alras on Tue, 02/23/2010 - 07:26 CST CST

 

Theano: A package for efficient computation in Python

Submitted by James Bergstra on Thu, 02/18/2010 - 18:50 CST CST

Theano is a Python library that allows you to define, optimize, and evaluate symbolic mathematical expre

NVIDIA's GPU Computing Webinars starting again

Submitted by Nadeem on Wed, 02/10/2010 - 23:55 CST CST

I'm re-starting the Webinar series after a couple of months. They run about 1.5 hours - and a great way to get going on CUDA C and OpenCL

You can see the full schedule on:

Job Posting on GPU Computing

Submitted by Nadeem on Tue, 02/02/2010 - 19:42 CST CST

Hey have you seen there is a job posting from the University of Basel. If anyone else has Job postings this is a great place to put them up.

It takes problem-domain and algorithm knowledge to be a superhero

Submitted by John Stratton on Tue, 12/08/2009 - 15:15 CST CST

Recently tried my hand at the CUDA Superhero Challenge 2.  Tried a quick-and-dirty brute-force attempt just to see if it  was even remotely possible in the time constraints (it wasn't), a

GPU Revolution

Submitted by Nadeem on Tue, 11/17/2009 - 00:33 CST CST

I have been working with graphics processors my entire professional life. Its been an amazing experience.

We are now experiencing the fastest growth of computing capabilities that the industry has every seen.

The moment GPU computing capabilities were unleashed through the launch of NVIDIA's CUDA Architecture - it was an inflexion point that that can not be described as anything other than revolutionary.

Syndicate content