So all you need is a grid of GPU machines (hopefully, coming up, judging by the blogs, or just buy your own)
On Fri, Feb 27, 2009 at 1:21 PM, Doug Cutting <[email protected]> wrote: > I think they're complementary. > > Hadoop's MapReduce lets you run computations on up to thousands of > computers potentially processing petabytes of data. It gets data from the > grid to your computation, reliably stores output back to the grid, and > supports grid-global computations (e.g., sorting). > > CUDA can make computations on a single computer run faster by using its > GPU. It does not handle co-ordination of multiple computers, e.g., the flow > of data in and out of a distributed filesystem, distributed reliability, > global computations, etc. > > So you might use CUDA within mapreduce to more efficiently run > compute-intensive tasks over petabytes of data. > > Doug > > > Mark Kerzner wrote: > >> Hi, this from Dr. Dobbs caught my attention, 240 CPU for $1,700 >> >> http://www.ddj.com/focal/NVIDIA-CUDA >> >> What are your thoughts? >> >> Thank you, >> Mark >> >>
