This commit is contained in:
Emery Berger 2022-08-12 18:32:37 -04:00
commit c65a928830

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@ -39,25 +39,38 @@ To build Coz from source, you will need:
- A copy of the source code for this project
- A compiler with C++0x support (clang++ or g++)
- A Python interpreter (Python 3.x is required)
- The libelfin development libraries (Use latest from <https://github.com/aclements/libelfin>. _Version 0.3 does not work_.)
- The `rst2man` command (for building documentation)
- NodeJS and npm (for building the profiler viewer)
- *ONLY* for building the profiler viewer: NodeJS and npm -- `sudo apt-get install nodejs npm`
Once you have all dependencies in place, build Coz with CMake. On Debian-based distributions, the following commands should take care of the entire process:
```
$ sudo apt-get install build-essential cmake docutils-common libelfin-dev nodejs npm python3
$ pip install conan --user
$ git clone https://github.com/plasma-umass/coz.git
$ cd coz
$ mkdir build && cd build
$ # This helps to avoid problems with linker failing to find C++ symbols:
$ conan profile update settings.compiler.libcxx=libstdc++11 default
$ conan install ..
$ cmake ..
$ make
sudo apt-get install build-essential cmake docutils-common git python3 pkg-config
git clone https://github.com/antoyo/libelfin && cd libelfin && make && sudo make install && cd ..
git clone https://github.com/plasma-umass/coz && cd coz && cmake . && make && sudo make install && cd ..
```
Next, you need to change the "perf_event_paranoia" level so Coz can run.
```
sudo sh -c 'echo 1 >/proc/sys/kernel/perf_event_paranoid'
```
Now you can test Coz. Build the benchmark suite and run one of the benchmarks (the SQLite3 benchmark takes a while to build).
```
sudo apt-get install libbz2-dev libsqlite3-dev
cd coz/benchmarks && cmake . && make && cd ../..
coz run --- ./coz/benchmarks/toy/toy
```
Finally, use the Coz viewer to see the results. This command will open up a browser tab, from which you will need to load the file `profile.coz`.
```
coz plot
```
(You may need to move the "Minimum Points" slider on the left side to see the results.)
## Using Coz
Using coz requires a small amount of setup, but you can jump ahead to the section on the included [sample applications](#sample-applications) in this repository if you want to try coz right away.
@ -87,7 +100,7 @@ Coz has command line options to specify progress points when profiling the appli
To plot profile results, go to http://plasma-umass.github.io/coz/ and load your profile. This page also includes several sample profiles from PARSEC benchmarks.
## Sample Applications
The `benchmarks` directory in this repository includes several small benchmarks with progress points added at appropriate locations. To build and run one of these benchmarks with `coz`, just browse to `benchmarks/{bench name}` and type `make bench` (or `make test` for a smaller input size). These programs may require several runs before coz has enough measurements to generate a useful profile. Once you have profiled these programs for several minutes, go to http://plasma-umass.github.io/coz/ to load and plot your profile.
The `benchmarks` directory in this repository includes several small benchmarks with progress points added at appropriate locations. To build and run one of these benchmarks with `coz`, just browse to `benchmarks/{bench name}` and type `cmake . && make`. These programs may require several runs before coz has enough measurements to generate a useful profile. Once you have profiled these programs for several minutes, go to http://plasma-umass.github.io/coz/ to load and plot your profile.
## CMake
When you install coz it installs a cmake config file. To add coz to a cmake project simply use the command `find_package(coz-profiler)`. This will import a target for the library and includes called `coz::coz` and a target for the coz binary `coz::profiler`. For guidance on how to use these targets refer to the CMake documentation.