Hi Kazi,

Trying to answer your questions:

1.  I am not aware of -d not working -- as of yesterday my students and I
were able to use it (with head of develop, or something close to it).  How
are you attempting to use it on the command line?

2.  I am not sure about the -mem-type flag (maybe Matt P., CC'd, knows
better), but in an APU model like you seem to be looking at, the CPU and
GPU memory are one and the same.  So there isn't a different CPU and GPU
memory if you are using an APU.  Matt P might have better information on
how to do this for a dGPU model, which we support in the VEGA_X86 model.

3.  Right now, the GPU support in the public gem5 and its VIPER Ruby
coherence protocol only allow the protocols available in Ruby (LRU,
TreePLRU) to be picked.  I believe there is also not a command line flag to
chose them, so you'd need to edit the appropriate Python file (e.g.,
https://gem5.googlesource.com/public/gem5/+/refs/heads/develop/configs/ruby/GPU_VIPER.py#235)
to pick the policy you want.  However, some of the students working with me
has updated Ruby and Classic's replacement policy support such that you can
now pick all the other Classic replacement policies in Ruby protocols too
(originally started here:
https://gem5-review.googlesource.com/c/public/gem5/+/20879, and subsequent
added to here:
https://gem5-review.googlesource.com/q/owner:ji...@wisc.edu.test-google-a.com).
We have some patches internally that allow users to specify replacement
policies for the different GPU caching levels (as part of the work
described here:
https://www.gem5.org/assets/files/workshop-isca-2023/slides/analyzing-the-benefits-of-more-complex-cache.pdf),
but we have not pushed them yet to the public code as we're trying to debug
the issues highlighted in slides 19-23 of that presentation.  We can push
the patches publicly now if that would help, but there would be some caveat
emptor there since the source of those bugs is unknown.

4.  I am assuming you are referring to the parameters eventually used in
places like this:
https://gem5.googlesource.com/public/gem5/+/refs/heads/develop/configs/ruby/GPU_VIPER.py#142?
If so, tcp_size is the size per instance of the L1D$ (currently per CU in
the GPU implementation) and tcc_size is the size of the shared GPU L2.  I
am not sure if you are seeing some other parameters somewhere?

5.  Matt P might have better information on this, but from briefly looking
at the stats output, my guess is the waveLevelParallelism stats are the
ones that might provide this information.

Hope this helps,
Matt

On Wed, Aug 23, 2023 at 11:19 AM Kazi Asifuzzaman via gem5-users <
gem5-users@gem5.org> wrote:

> Hello,
>
> I am exploring the usage of the Gem5-GPU model GCN3_X86 (version
> 22.1.0.0). I have the following queries/questions if you could kindly
> clarify:
>
> 1. In previous versions of Gem5 we could use --outdir or -d option to
> redirect the output to a specific directory. That appears to be not
> supported in the version specified above (please correct me if I am wrong).
> Is there any other way to redirect simulation outputs to specific
> directories other than m5out? Otherwise, is there any other way to run
> multiple instances of gem5, ensuring that the stats.txt of one application
> is not overwritten by other instances running at the same time and saving
> the output in the same directory (m5out).
>
> 2. For GCN3_X86, I assume -mem-type defines available memory models for
> CPU/Host memory. By the default settings, does this work as a "Unified
> Memory" ? If not, how to define the memory type for the GPU (global
> memory), if it is different from CPU main memory?
>
> 3. --list-rp-types lists the available replacement policies, but what is
> the option to select one of those?
>
> 4. -n defines the number of CPUs or cores, L1d_size and L2_size should be
> the size per core or per CPU?
>
> 5. Are there any output parameters that report % of resources (e.g. CUs)
> used by the application, or quantify memory contention in unified memory?
>
> Thanks,
>
> *K. Zaman*
> _______________________________________________
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