On Mon, 2011-09-19 at 10:36 -0400, Greg Smith wrote: > On 09/19/2011 10:12 AM, Greg Stark wrote: > > With the GPU I'm curious to see how well > > it handles multiple processes contending for resources, it might be a > > flashy feature that gets lots of attention but might not really be > > very useful in practice. But it would be very interesting to see. > > > > The main problem here is that the sort of hardware commonly used for > production database servers doesn't have any serious enough GPU to > support CUDA/OpenCL available. The very clear trend now is that all > systems other than gaming ones ship with motherboard graphics chipsets > more than powerful enough for any task but that. I just checked the 5 > most popular configurations of server I see my customers deploy > PostgreSQL onto (a mix of Dell and HP units), and you don't get a > serious GPU from any of them. > > Intel's next generation Ivy Bridge chipset, expected for the spring of > 2012, is going to add support for OpenCL to the built-in motherboard > GPU. We may eventually see that trickle into the server hardware side > of things too. > > I've never seen a PostgreSQL server capable of running CUDA, and I don't > expect that to change.
CUDA sorting could be beneficial on general server hardware if it can run well on multiple cpus in parallel. GPU-s being in essence parallel processors on fast shared memory, it may be that even on ordinary RAM and lots of CPUs some CUDA algorithms are a significant win. and then there is non-graphics GPU availabe on EC2 Cluster GPU Quadruple Extra Large Instance 22 GB of memory 33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture) 2 x NVIDIA Tesla “Fermi” M2050 GPUs 1690 GB of instance storage 64-bit platform I/O Performance: Very High (10 Gigabit Ethernet) API name: cg1.4xlarge It costs $2.10 per hour, probably a lot less if you use the Spot Instances. > -- > Greg Smith 2ndQuadrant US g...@2ndquadrant.com Baltimore, MD > PostgreSQL Training, Services, and 24x7 Support www.2ndQuadrant.us > > -- Sent via pgsql-hackers mailing list (email@example.com) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-hackers