Thanks John for your thoughts (accidentally they match with mine) > > I'm looking for someone in Germany who already has access to a Tesla > > system. > > I have received a request by a scientist for "a very powerful machine", and > > would like him to run some tests before spending and possibly wasting > > money. > > > In that case, why not just buy a standard Nvidia graphics card? They run the > same CUDA code. You can run your tests and get an idea of possible speedups, > or indeed if the code will run under CUDA, before committing to buy Tesla.
> A "very powerful machine" could mean a lot of things - a cluster with a high > core count. A large SMP machine with a huge amount of memory. A dedicated > machine like the QCD calculators. Since he would have been able to use MPI (at least locally to use the available multi-core architecture), and didn't do that, it's still a lot of linear code. Large memory (but not excessive) - yes. SMP - not really. Cluster with high core count: this would give the opportunity to do stupid things on the "several hundreds" scale, but not speed up the single stupid thing. > As Vincent says, you need to look at what the code is before hitting the "I > need Cuda" button. Sometimes the approach to "throw enough money at a problem, and it will resolve itself" is the easier one, compared with the need to power-up your brains :( Actually, I was facing an outcome of "5% speedup if nothing is done about code efficiency", and I wouldn't like wasting money for that result - that's why I was asking for a way to confront that guy with the need to re-work his code, you understand? Thanks for your patience, Steffen _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
