c0a4836077
options, making existing options more visible and dealing with
holes in data better.
util/stats/barchart.py:
- move the options for BarChart to a base class ChartOptions so
they can be more easily set and copied.
- add an option to set the chart size (so you can adjust the aspect ratio)
- don't do the add_subplot thing, use add_axes directly so we can
affect the size of the figure itself to make room for the legend
- make the initial array bottom floating point so we don't lose precision
- add an option to set the limits on the y axis
- use a figure legend instead of an axes legend so we can put the legend
outside of the actual chart. Also add an option to set the fontsize of
the legend.
- initial hack at outputting csv files
util/stats/db.py:
don't print out an error when the run is missing from the database
just return None, the error will be print elsewhere.
util/stats/output.py:
- make StatOutput derive from ChartOptions so that it's easier to
set default chart options.
- make the various output functions (graph, display, etc.) take the
name of the data as a parameter instead of making it a parameter to
__init__. This allows me to create the StatOutput object with
generic parameters while still being able to specialize the name
after the fact
- add support for graph_group and graph_bars to be applied to multiple
configuration groups. This results in a cross product of the groups
to be generated and used.
- flush the html file output as we go so that we can load the file
while graphs are still being generated.
- make the proxy a parameter to the graph function so the proper system's
data can be graphed
- for any groups or bars that are completely missing, remove them from
the graph. This way, if we decide not to do a set of runs, there won't
be holes in the data.
- output eps and ps by default in addition to the png.
util/stats/profile.py:
- clean up the data structures that are used to store the function
profile information and try our best to avoid keeping extra data
around that isn't used.
- make get() return None if a job is missing so we know it was
missing rather than the all zeroes thing.
- make the function profile categorization stuff total up to 100%
- Fixup the x-axis and y-axis labels.
- fix the dot file output stuff.
util/stats/stats.py:
support the new options stuff for StatOutput
--HG--
extra : convert_revision : fae35df8c57a36257ea93bc3e0a0e617edc46bb7
This is release m5_1.1 of the M5 simulator. This file contains brief "getting started" instructions. For more information, see http://m5.eecs.umich.edu. If you have questions, please send mail to m5sim-users@lists.sourceforge.net. WHAT'S INCLUDED (AND NOT) ------------------------- The basic source release includes these subdirectories: - m5: the simulator itself - m5-test: regression tests - ext: less-common external packages needed to build m5 - alpha-system: source for Alpha console and PALcode To run full-system simulations, you will need compiled console, PALcode, and kernel binaries and one or more disk images. These files are collected in a separate archive, m5_system_1.1.tar.bz2. This file is included on the CD release, or you can download it separately from Sourceforge. M5 supports Linux 2.4/2.6, FreeBSD, and the proprietary Compaq/HP Tru64 version of Unix. We are able to distribute Linux and FreeBSD bootdisks, but we are unable to distribute bootable disk images of Tru64 Unix. If you have a Tru64 license and are interested in obtaining disk images, contact us at m5-dev@eecs.umich.edu. The CD release includes a few extra goodies, such as a tar file containing doxygen-generated HTML documentation (html-docs.tar.gz), a set of Linux source patches (linux_m5-2.6.8.1.diff), and the scons program needed to build M5. If you do not have the CD, the same HTML documentation is available online at http://m5.eecs.umich.edu/docs, the Linux source patches are available at http://m5.eecs.umich.edu/dist/linux_m5-2.6.8.1.diff, and the scons program is available from http://www.scons.org. WHAT'S NEEDED ------------- - GCC version 3.3 or newer - Python 2.3 or newer - SCons 0.96.1 or newer (see http://www.scons.org) WHAT'S RECOMMENDED ------------------ - MySQL (for statistics complex statistics storage/retrieval) - Python-MysqlDB (for statistics analysis) GETTING STARTED --------------- There are two different build targets and three optimizations levels: Target: ------- ALPHA_SE - Syscall emulation simulation ALPHA_FS - Full system simulation Optimization: ------------- m5.debug - debug version of the code with tracing and without optimization m5.opt - optimized version of code with tracing m5.fast - optimized version of the code without tracing and asserts Different targets are built in different subdirectories of m5/build. Binaries with the same target but different optimization levels share the same directory. Note that you can build m5 in any directory you choose;p just configure the target directory using the 'mkbuilddir' script in m5/build. The following steps will build and test the simulator. The variable "$top" refers to the top directory where you've unpacked the files, i.e., the one containing the m5, m5-test, and ext directories. If you have a multiprocessor system, you should give scons a "-j N" argument (like make) to run N jobs in parallel. To build and test the syscall-emulation simulator: cd $top/m5/build scons ALPHA_SE/test/opt/quick This process takes under 10 minutes on a dual 3GHz Xeon system (using the '-j 4' option). To build and test the full-system simulator: 1. Unpack the full-system binaries from m5_system_1.1.tar.bz2. (See above for directions on obtaining this file if you don't have it.) This package includes disk images and kernel, palcode, and console binaries for Linux and FreeBSD. 2. Edit the SYSTEMDIR search path in $top/m5-test/SysPaths.py to include the path to your local copy of the binaries. 3. In $top/m5/build, run "scons ALPHA_FS/test/opt/quick". This process also takes under 10 minutes on a dual 3GHz Xeon system (again using the '-j 4' option).