vetta project

Tag: Hardware

The innovator’s dilemma

The way in which technological change occurs in industries has always interested me. One quite well known book on this subject is “The Innovator’s Dilemma” by Clayton M. Christensen. Here’s a nice post on a friend’s blog that summarises the essential ideas.  The book contains many fascinating examples of disruptive changes and is [...]

Tick, tock, tick, tock…

I recently read about IBM’s Sequoia supercomputer that will be operational in 2011.  It will perform 20 Peta FLOPS and have 1.6 Peta bytes of RAM.   To put that in perspective: if it were to attempt to simulation a human cerebral cortex it would be able to allocate 50 bytes of RAM and 700 calculations [...]

Learning to predict the future

One of the things I’ve been thinking about recently is the prediction of the future.  Many people really enjoy doing this and come up with all sorts of wild speculations.  It’s kind of like having the liberty to write your own science fiction, but then taking it a step further by convincing yourself to actually [...]

2.4 Tera FLOPS per card

Remember when I was raving about nVidia’s new GTX 280 graphics card that crunches 1 Tera FLOPS?
Yeah, well, that was 3 weeks ago.
Today, Radeon’s new HD 4870 X2 graphics card has 1600 stream processors that crunch 2.4 Tera FLOPS.

Neural networks with Nvidia CUDA

If Roadrunner is a bit beyond your budget, simulating neural networks with GPUs might be an option:

The next generation of Nvidia GPUs will support enhancements such as double precision floating point in order to make them more suitable for general purpose highly parallel computation. There will also be cards with no graphics interface [...]