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14209:7efe1c187149 |
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22-Apr-2016 |
Andreas Sandberg <andreas.sandberg@arm.com> |
stats: Add beta support for HDF5 stat dumps
This changeset add support for stat dumps in the HDF5 file format. HDF5 is a binary data format that represents data in a file-system-like balanced tree. It has native support for N-dimensional arrays and binary data (e.g., frame buffers).
It has the following benefits over traditional text stat files:
* Efficient storage of time series (multiple stat dumps)
* Fast lookup of stats
* Plenty of existing tooling (e.g., Python libraries and graphical viewers)
* File format can be used to store frame buffers together with normal stats.
Drawbacks:
* Large startup cost (single stat dump larger than text equivalent)
* Stat dumps are slower than text
Known limitations:
* Distributions and histograms aren't supported.
HDF5 stat output can be enabled using the 'h5' URL scheme when overriding the stat file name on gem5's command line. The following parameters are supported:
* chunking (unsigned): Number of time steps to pre-allocate (default: 10)
* desc (bool): Output stat descriptions (default: True)
* formulas (bool): Output derived stats (default: True)
Example gem5 command line:
./build/ARM/gem5.opt \ --stats-file="h5://stats.h5?desc=False;formulas=False" \ configs/example/fs.py
Example Python stat consumer that computes IPC: import h5py
f = h5py.File('stats.h5', 'r') group = f['/system/cpu'] for i, c in zip(group['committedInsts'], group['numCycles']): print i, c, i / c
Change-Id: I351c6cbff2fb7bef9012f47876ba227ed288975b Signed-off-by: Andreas Sandberg <andreas.sandberg@arm.com> Reviewed-by: Nikos Nikoleris <nikos.nikoleris@arm.com> Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/8121 Tested-by: kokoro <noreply+kokoro@google.com> Reviewed-by: Jason Lowe-Power <jason@lowepower.com> Reviewed-by: Daniel Carvalho <odanrc@yahoo.com.br> Reviewed-by: Ciro Santilli <ciro.santilli@arm.com>
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