Hi,
My name is chewping and I’m doing my master’s research in the University of
Malaya, Malaysia. I’m using ParaView and MPI to visualize a relatively large
medical data set in a homogeneous cluster environment. It consists of one
master node and 9 slave nodes in a Local Area Network with class C IP address.
Most nodes are similar to each other (32 bits processor, running on Linux). I
would like to manipulate MPI to make the performance better (faster
distributions of data and collections of results). As I am new to MPI and
parallel processing system, there are a few questions that I would like to ask:
1. How MPI distribute the work load?
2. Does the master node divide the work load evenly first, then distribute
to each slave node?
3. Or the master node pass the whole chunk of work load to every slave
node, then the slave node ‘take’ their own piece of work to process?
4. Can the work load being distributed according to priority (load
balancing)? Or give a bigger portion of work load to the node with higher
processing speed?
Can MPI do the above and how? Where can I learn more on how to use MPI to tune
for best performance for distributed processing and rendering?
Thanks in advance for your feedback!
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