I do text/video retrieval and analysis algorithms,
using my laptop interchangeably with my desktop for development in
Eclipse and a cluster for back-end heavy lifting. A dual core
machine, when coupled with keeping in your case the speech generation
on a separate thread from the database activity, can do some amazing
things. Lots of threading built in now will make quad core
utilization a snap - don't be afraid to try concurrent threads hitting
the database simultaneously (although the laptop drive has definite
I/O constraints). A healthy dose of memory (up to a gb) to the
database engine is critical, as is good indexes on tables. You
might also consider architecting so you can swap out database
engines. If your queries are 'complicated' there could be
significant differences in MySQL vs. say, Postgres. Command line
execution of key queries using the explain command can be quite
educational. I run Postgres on my laptop as well as on my
primary XServe/XRAID platform, toggling between server and localhost
JDBC urls to capitalize on network availability of the XServe when I
can and falling back to the laptop instance when I can't.
I'm a 20-year MS
developer moving to Mac.
My primary motivation is to port a
C#/SQLServer
linguistic application to Java/MySQL on
Apple.
This is a very DB intensive application,
lots
of very complicated queries, with
several
hundred executing every few minutes.
There
are virtually no DB updates once the
data
model is created,
There is also a TTS component.
Sometimes the TTS has
to run at the same
time as the DB app. This has to run on
a
laptop or notebook (seminars, demos,
etc).
My question:
What should I look for in a maximizing
performance for an app like this? Memory?
Speed?
Both? Something else?
Much thanks for any
advice!
Jim
-----------
David Eichmann
Assoc. Director for Biomedical Informatics &
School of Library and Information Science Phone:
(319) 335-5715
3087
LIB fax: (319) 335-5374
University of
Iowa Email: email@hidden
Iowa City, IA 52242
http://mingo.info-science.uiowa.edu/eichmann/
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