Hi all,
My first post, and my first problem with NT. I'm designing a parallel optimizer, I mean, run each of the iterations on diferent machines/procesors. I have the optimizer, the messaging system, and the problem. The idea is running empty iterations on the master NT, which are actually executed on a slave NT, and when the iteration is finished, replace the result in the master NT from the slave NT. And then the problem arises. Once I recover the Strategy object from the slave NT, how can I "insert" those results in the master NT? Is there any point in the code of an optimizer where I can change the strategy results for one iteration? (With change I actually mean insert)
There are other "dirties" posibilities available for exhaustive optimization, like saving all the results, from master and slaves, in the same file, or export the result of the optimization on every NT and merge them externally, etc. But the first option is the best, i f possible, because it allows to use any optimizer algorithm.
Greetings and thanks,
Juanjo
My first post, and my first problem with NT. I'm designing a parallel optimizer, I mean, run each of the iterations on diferent machines/procesors. I have the optimizer, the messaging system, and the problem. The idea is running empty iterations on the master NT, which are actually executed on a slave NT, and when the iteration is finished, replace the result in the master NT from the slave NT. And then the problem arises. Once I recover the Strategy object from the slave NT, how can I "insert" those results in the master NT? Is there any point in the code of an optimizer where I can change the strategy results for one iteration? (With change I actually mean insert)
There are other "dirties" posibilities available for exhaustive optimization, like saving all the results, from master and slaves, in the same file, or export the result of the optimization on every NT and merge them externally, etc. But the first option is the best, i f possible, because it allows to use any optimizer algorithm.
Greetings and thanks,
Juanjo
Comment