A Python tool that extracts partial codes out of a large Fortran application and converts them into a standalone/verifiable/executable kernel
| AUTHORS: | Youngsung Kim and John Dennis |
|---|---|
| VERSION: | 0.8.0 |
| COPYRIGHT: | See the document entitled LICENSE.txt |
Send questions and comments to KGEN Dev. Team (kgen@ucar.edu).
https://ncar.github.io/kgendocs
- Discussion-group
- https://groups.google.com/forum/#!forum/kgen-discuss
[ User Interface ]
- "--invocation" option is changed from mandatory to optional
- "--repr-etime", "--repr-papi", and "--repr-code" options are added for representative extensions
- "--state-clean", "--state-build", and "--state-run" options are discarded.
[ Major Improvements ]
KGen measures three types of characteristics from original application and generates kernel and input data in a way to reprouce the types of characteristics in generated kernel.
- KGEN extracts an arbitrary region of Fortran source code as a stand-alone executable software
- In addition, it generates input & output data for executing and verifying the generated kernel
- All KGEN-generated kernels include correctness check and timing measurement
- Linux OS
- Python (>=2.7 and < 3.0)
- C Pre-Processor(cpp)
- Make build tool(make)
- System call trace tool(strace)
- Stream Editor (sed)
The latest KGEN can be obtained from the Git repository.
git clone https://github.com/NCAR/KGen.git
Current KGEN does not require to build or to install.
- Download from KGen Github repository.
>> git clone https://github.com/NCAR/KGen.git
Try a kernel generation example in "examples/simple" directory
>> cd examples/simple; # move to an example directory
>> vi src/Makefile; # Modify FC if required
>> make; # extract a kernel
>> cd kernel; # move to a kernel directory
>> make; # build and run a kernel