[gecode-users] Concept of "computation spaces" in Gecode vs ILOG.

[Christian Schulte]

Dear Pieter,

I am really sorry but I can't and won't comment. I would suggest that you
ask the question on a forum dedicated to ILOG Solver rather than here.

All the best
Christian

--
Christian Schulte, http://www.imit.kth.se/~schulte/ 

-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Pieter Thysebaert
Sent: Thursday, October 26, 2006 11:41 AM
To: users at gecode.org
Subject: [gecode-users] Concept of "computation spaces" in Gecode vs ILOG.


Hello,

As some of you may have learned from a previous posting, I'm currently busy
implementing a parallel constraint optimization framework. The ultimate goal
is to run this framework on a cluster of PC's (i.e. a distributed memory
system).

Using gecode and MPICH2, I've succeeded in creating a working prototype.
Some reasons for this modest succes are 1) the availability and licensing of
Gecode and MPICH2 and 2) the concept of computation spaces, which makes it
easy to encapsulate the constraint store and propagation things and reuse
these concepts in a custom program.

As my employer currently has a ILOG Solver license (sorry ;-) , the question
arises however if it would be technically feasible (i.e. disregarding
licensing issues) to implement the same framework using ILOG Solver
technology. I have only used ILOG Solver the ILOG way (modelling variables
and constraints, setting goals, custom selectors and choosers, extracting
into a solver object ...). My question is thus: is anyone here familiar
enough with both products (Gecode and ILOG Solver) to tell me whether the
ILOG Solver internals can be manipulated in the "computation space way",
either thorugh existing ILOG API or some wrapper classes?  Does anyone have
experience with using ILOG Solver in a PC-based distributed memory system
(as far as I  can tell, ILOG Parallel Solver is limited to shared-memory
multiprocessors?)?

Thanks,
Pieter



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