On Jan 25, 2010, at 12:10 AM, Marcus G. Daniels wrote:
Google will eventually beat all these efforts because they are
thinking plumbing/networking with scalable data stores (NoSql).
Hmm, I think their application toolkits will get good at use cases
where there are medium and high latencies to deal with along with
medium individual bandwidths, e.g. JavaScript within a web browser
and delays from communication over the internet. And they'll get
better and better at managing millions of such workloads. That's
completely different from high performance computing and scientific
workloads.
Good point, the architecture for large scale computing is likely
differ between application: scientific/engineering, visualization,
large graph computations, simulations and so on.
Which of us have an idea of specific "super computing" architectures?
What would your "three wishes" be for such a system?
Doug: I know your work with clusters would qualify. If you had a mega
buck or two, how'd you spend it?
-- Owen
============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org