Hi James, Yup, the analytics side of database usage is ripe with possibilities, as the site at your link shows. In my original skepticism, I was referring not to the analytics using the database, but to the database itself. In Cassandra-specific terms, I would suggest that GPUs have more potential impact on the Spark and/or Titan integration with Cassandra, rather than on Cassandra itself.
Steve On Tue, Dec 1, 2015 at 12:35 PM, james anderson <james.ander...@setf.de> wrote: > good evening; > > On 2015-12-01, at 21:17, Steve Robenalt <sroben...@highwire.org> wrote: > > Hi Tony, > > Somebody will likely prove me wrong on this (and I'd love to see it), but > I'm skeptical that there is much intersection between the set of things a > GPU is good at and the set of things a database needs to do. > > > of course the context varies, but there are some demonstrated advantages: > > https://www.blazegraph.com/product/gpu-accelerated/ > > As such, I don't expect there'd be much performance gain unless a way to > exploit the massive parallelism of the GPU effectively can be found. > > Of course, GPU-driven analytics on the contents of the database opens up > all kinds of possibilities given the right kind of data... > > Steve > > On Tue, Dec 1, 2015 at 10:16 AM, Tony Anecito <adanec...@yahoo.com> wrote: > >> Hi All, >> >> Can Cassandra use GPU's? If not can someone recommend a open source >> database that runs on GPU's? I am interested in seeing the performance >> difference of a database that is under 2GB run on a GPU card such as as >> NVIDA gtx 980. >> >> Thanks, >> -Tony >> > > > > -- > Steve Robenalt > Software Architect > sroben...@highwire.org <bza...@highwire.org> > (office/cell): 916-505-1785 > > HighWire Press, Inc. > 425 Broadway St, Redwood City, CA 94063 > www.highwire.org > > Technology for Scholarly Communication > > > > > > -- Steve Robenalt Software Architect sroben...@highwire.org <bza...@highwire.org> (office/cell): 916-505-1785 HighWire Press, Inc. 425 Broadway St, Redwood City, CA 94063 www.highwire.org Technology for Scholarly Communication