being written to disk.
But other than guessing like this, I couldn't actually say how it
would turn
out except that for very short jobs, moving jar files around and other
startup costs can be the dominant cost.
On Sun, Jun 1, 2008 at 5:05 AM, Martin Jaggi [EMAIL PROTECTED]
wrote:
So
in innumerable ways.
On Sat, May 31, 2008 at 7:51 PM, Martin Jaggi [EMAIL PROTECTED]
wrote:
Concerning real-time Map Reduce within (and not only between)
machines
(multi-core GPU), e.g. the Phoenix and Mars frameworks:
I'm really interested in very fast Map Reduce tasks, i.e. without
Concerning real-time Map Reduce within (and not only between) machines
(multi-core GPU), e.g. the Phoenix and Mars frameworks:
I'm really interested in very fast Map Reduce tasks, i.e. without much
disk access. With the rise of multi-core systems, this could get more
and more interesting,
