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

[Mike Marty <mikem@xxxxxxxxxxx>]

I'm not sure what is going on.

You chould check to see that this scheduling occurs without Opal to ensure
that your trace code is correct and that Opal is not at fault.  You can
dump out memory requests that enter the Ruby memory system by entering the
following ruby commands in Simics:

    ruby0.debug-output-file trace.txt
    ruby0.debug-start-time "1"



>  	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
>
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