Monday, December 20th, 2010
So I always considered the Antec P182 (now replaced by the Antec P183) to be a big heavy case… until I met the COOLER MASTER HAF X ATX Full Tower Case. A few months back I upgraded to a pair of EVGA GTX 470 cards (for more CUDA fun and ...
Tags: GPGPU, Hardware
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Sunday, December 12th, 2010
I updated my post on adding intellisense support for CUDA. Visual Studio 2010 Adding Intellisense Support for CUDA C It now includes more instructions on setting the project include path and what headers need to be included.
Tags: C++, GPGPU, Visual Studio
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Thursday, October 28th, 2010
Someone asked me how to get intellisense working with CUDA files. So here’s a quick post on the couple of simple steps it takes to get it working…
The following assumes you’ve setup a CUDA project with the correct include paths and it builds correctly.
Tags: C#, GPGPU, Visual Studio
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Monday, October 11th, 2010
So after the dust has settled and I’m back in not quite so sunny Seattle what were the highlights from GTC? Keynotes: 3D and the Cure for Cancer I was really impressed by the keynotes and wish I could have stayed for the final one on Thursday evening ...
Tags: C#, GPGPU, San Jose
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Thursday, September 23rd, 2010
When do you know that something is truly mainstream? When there’s a “____ for Dummies” book for it. Apparently cluster computing has hit that mark. I found this at GTC. Platform Computing were giving them out at their booth. I guess if you factor in Azure and E2C into the ...
Tags: Books, GPGPU, San Jose
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Wednesday, September 22nd, 2010
Mark Harris’ talk on Tuesday evening was really interesting. He outlined some of the key algorithms for data parallel computing: (Map) Reduce – e.g. Sum Split – e.g. Radix Sort, Trees Compact - remove unneeded elements Allocate ...
Tags: GPGPU, Parallel Computing, Patterns, San Jose
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Saturday, September 18th, 2010
So after I packed The Susan off home to Seattle it’s time to start my geek vacation in earnest… NVidia’s GPU Technology Conference. Monday was a set of fairly low key tutorials but Tuesday’s keynote by Jen-Hsun Huang, NVIDIA, was very impressive. I’m somewhat jaded when it comes to ...
Tags: Coding, GPGPU, High Performance Computing, Parallel Computing, San Jose
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