Hi,<br><br>I've started to work with the parallel ipython and feeling that this is a fantastic and promising tool.<br><br>I want to run some of the tasks in parallel, but I'm not comfortable with the scatter way, that equally divides a set of tasks.
<br>I would like to balance the code execution between computers for two reasons: I have computers with distinct speed and the code may be completed earlier in some cases.<br><br>
I would like to know when a computer have ended a task and assign a new one. <br>
<br>I've considered a solution similar to pylinda tuple spaces but (as far as I know) the the kernel does not have access to the kernel client other than in a form of answering. The kernel cannot take the iniciative and change a cluster common data, that could be a way of solving my needs.
<br><br>What is the best direction? Should I derive from a resultgatherer to monitor the end of code execution or there is a better way? <br><br>Thanks in advance for your time.<br><br>Hugo Gamboa<br>