Aggregation
The aggregation repository contains a set of algorithms for grouping vertices of DAGs coming from loop-carried dependencies. For more information see Sympiler website
Install / Use
/learn @sympiler/AggregationREADME
Aggregation
The aggregation repository contains a set of algorithms for grouping vertices of DAGs coming from loop-carried dependencies. Load-balance Level Coarsening (LBC) is one of the aggregation algorithms.
Hybrid Aggregation (HDagg) is another algorithm that can operate on chordal and non-chordal DAGs directly.
The algorithms in this repository can be used within code generators or libraries.
Install
Prerequisites
First following items should be installed:
- CMake
- C++ compiler (GCC, ICC, or CLang)
- METIS (optional) dependency for running the demo efficiently and is handled by the cmake. If you have installed the package using a packet manager (e.g., apt of homebrew), CMake should be able to detect it. Otherwise, it installs METIS from source internally.
- OpenMP (optional) for running some parts of the code in parallel. If you
use GCC/ICC then OpenMP should be supported natively. If you use Apple CLang,
you probably need to install OpenMP using
homebrew install libomp. You can - also install LLVM usng
brew install llvmwhich support OpenMP natively.
Build
Then build Aggregation, using the following:
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
make
You can always set -DCMAKE_CXX_COMPILER= and -DCMAKE_C_COMPILER= to use
a different compiler. For example:
cmake -DCMAKE_CXX_COMPILER=/usr/local/Cellar/gcc\@9/9.3.0_2/bin/g++-9 -DCMAKE_C_COMPILER=/usr/local/Cellar/gcc\@9/9.3.0_2/bin/gcc-9 ..
Example
The example directory shows how to call LBC API and iterate over the created partitioning. For more examples on how LBC is used for making loops with sparse dependencies parallel.
