[Gems-users] Getting Multiprocessor benchmarks running on multiple processors at once

[Sean Ryan Leventhal <sleventh@xxxxxxxxxxxx>]

	I have modified opal to print out traces of all memory 
instructions.  I call a function of the sequencer within the execute stage 
of both memop objects.  This function prints out the following:

m_local_cycles (which I am currently treating as the time)
the address of the instruction
whether it is a store
and the address being accessed.

Each sequencer has its own file.

When I merge these files, and sort them based on processor/sequencer I 
observe that there are long strings in which only one processor accesses 
the cache.  For instance, I start fmm -p4 (fast multipole method on four 
processors from splash2), and do
c 1500000
to try to jump past some of the OS stuff.  I then load ruby and opal and 
initialize them and run

opal0.sim-step 5000000

This produces several very large traces.  But sorting them and grouping 
all adjacent memory accesses of the same processor as a single "string" 
yields only 32 "strings", with an average length of 103,827 memory 
accesses.  In other words, it appears that two threads are never executing 
at the same time.  I get similar behavior from fft.  Does anyone have any 
idea what I am doing wrong?

- Sean