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Competence centre LifeWatch/Citizen Science/Task 4.2
Pattern recognition will be implemented through machine learning with deep neural networks (aka deep learning). Caffe is a deep learning framework created at UC Berkeley.
Caffe installation
For the installation of Caffe in Altamira Supercomputer at IFCA (Spain) we have followed both the official installation guide and a specific guide for installing Caffe on a Supercomputer cluster.
Caffe has been installed locally at /gpfs/res_scratch/lifewatch/iheredia/.usr/local/src/caffe. For more information on the local installation of software in a supercomputer please check [1]. The software and libraries already available at Altamira are:
- PYTHON 2.7.10
- CUDA 7.0.28
- OPENMPI 1.8.3
- BOOST 1.54.0
- PROTOBUF 2.5.0
- GCC 4.6.3
- HDF5 1.8.10
The remaining libraries have been installed at /gpfs/res_scratch/lifewatch/iheredia/.usr/local/lib. Those libraries are:
- gflags
- glog
- leveldb
- OpenCV
- snappy
- LMDB
- ATLAS
- CuDNN
Modules can be loaded all at once by loading /gpfs/res_scratch/lifewatch/iheredia/.usr/local/share/modulefiles/common.
- Comments
At this moment Altamira runs with Tesla M2090 GPUs with CUDA capability 2.0. Therefore Caffe has been compiled without CuDNN (the GPU-accelerated library of primitives for deep neural networks) which requires GPUs with CUDA capability of 3.0 or higher. Hopefully they will soon be replaced with Tesla Kepler GPUs.