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[update] update README #11

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Jan 17, 2023
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[update] update README #11

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19 changes: 19 additions & 0 deletions README.md
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Expand Up @@ -19,6 +19,25 @@ The dgSPARSE Library (Deep Graph Sparse Library) is a high performance library f
└── ge-spmm: GE-SpMM implementation.
```

## Installation

First, setup the the following environment variables:

``` bash
export MKLROOT=/opt/intel/mkl # your mkl path
export CUDA_HOME=/usr/local/cuda # your cuda path
export LD_LIBRARY_PATH=$CUDA_HOME/lib64 # your cuda lib path
```

Then, install with pip.

``` bash
pip install dgsparse
```

> for developers, you could also install from source code with `python setup.py install`.


## Run Examples

Check your environment.
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