Alchemi is for parallelization across multiple processors. It sounds like
you have a sequential algorithm, and Alchemi is the wrong solution for that
algorithm. With Alchemi, threads 1, 2, and 3 may all execute concurrently,
or out of order.
If you can find or develop an algorithm which allows the data to be
partitioned into several parts, where each part processed independently,
then Alchemi will be of use to you.
Perhaps you should take a look at Map/Reduce as a concept. From wikipedia:
*"Map" step:*
The master node takes the input, chops it up into smaller sub-problems, and
distributes those to worker nodes. A worker node may do this again in turn,
leading to a multi-level
tree<http://en.wikipedia.org/wiki/Tree_(data_structure)> structure.
The worker node processes that smaller problem, and passes the answer back
to its master node.
*"Reduce" step:*
The master node then takes the answers to all the sub-problems and combines
them in some way to get the output - the answer to the problem it was
originally trying to solve.
Alchemi supports that model.
Hope that helps,
Jonathan
On Thu, Feb 3, 2011 at 9:45 AM, karuppayya <[email protected]> wrote:
> I am doing a project on DNA sequence alignment using grid,for which I am
> using the Alchemi framework.
> problem:
> I submit a particular data to all threads.
> the thread 2 has to work on the data processed by thread 1.The thread 3 has
> to work on the data processed by thread 2 and so on.I tried passing
> reference of that data to the threads .Ialso tried making that piece of
> data static. In both cases,all the thread acted upon the data which was in
> the state as was passed at the beginning. How do i overcome this.
> ps-I will send the code code if needed
>
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