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Difference between revisions of "Competence centre LifeWatch/Citizen Science/Task 4.2"
(Created page with "[http://caffe.berkeleyvision.org/ Caffe] is a deep learning framework created at UC Berkeley. For the installation of Caffe in Altamira Supercomputer at IFCA (Spain) we have fo...") |
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[http://caffe.berkeleyvision.org/ Caffe] is a deep learning framework created at UC Berkeley. | Pattern recognition will be implemented through machine learning with deep neural networks (aka deep learning). [http://caffe.berkeleyvision.org/ 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 [http://caffe.berkeleyvision.org/installation.html official installation guide] and a [http://www.andrewjanowczyk.com/installing-caffe-on-the-ohio-super-computing-osc-ruby-cluster/ specific guide] for installing Caffe on a Supercomputer cluster. | For the installation of Caffe in Altamira Supercomputer at IFCA (Spain) we have followed both the [http://caffe.berkeleyvision.org/installation.html official installation guide] and a [http://www.andrewjanowczyk.com/installing-caffe-on-the-ohio-super-computing-osc-ruby-cluster/ 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 [https://www.osc.edu/documentation/howto/locally-installing-software]. | 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 [https://www.osc.edu/documentation/howto/locally-installing-software]. | ||
The software/libraries already available at Altamira were PYTHON 2.7.10 | The software/libraries already available at Altamira were: | ||
* 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 had been installed locally at /gpfs/res_scratch/lifewatch/iheredia/.usr/local/lib. Those are: | |||
* gflags | |||
* glog | |||
* leveldb | |||
* OpenCV | |||
* Snappy | |||
* LMDB | |||
* ATLAS | |||
* CuDNN | |||
Modules can be loaded all at once by loading the share/modulefiles/common. | Modules can be loaded all at once by loading the share/modulefiles/common. | ||
;Comments: | |||
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. | 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. | Hopefully they will soon be replaced with Tesla Kepler GPUs. | ||
Revision as of 16:40, 19 January 2016
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/libraries already available at Altamira were:
- 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 had been installed locally at /gpfs/res_scratch/lifewatch/iheredia/.usr/local/lib. Those are:
- gflags
- glog
- leveldb
- OpenCV
- Snappy
- LMDB
- ATLAS
- CuDNN
Modules can be loaded all at once by loading the 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.