Specifically, I’ll be using an Amazon EC2 g2.2xlarge machine running Ubuntu 14.04. In the remainder of this blog post, I’ll demonstrate how to install both the NVIDIA CUDA Toolkit and the cuDNN library for deep learning. Using the cuDNN package, you can increase training speeds by upwards of 44%, with over 6x speedups in Torch and Caffe. The cuDNN library: A GPU-accelerated library of primitives for deep neural networks.This toolkit includes a compiler specifically designed for NVIDIA GPUs and associated math libraries + optimization routines. The NVIDIA CUDA Toolkit: A development environment for building GPU-accelerated applications.
If you already have an NVIDIA supported GPU, then the next logical step is to install two important libraries:
And the more GPUs you have, the better off you are. If you’re serious about doing any type of deep learning, you should be utilizing your GPU rather than your CPU.
There might be some compilation erros due to permission issues but it won't prevent from doing homeworks.Click here to download the source code to this post You can execute the binaries in the release directory. The bin directory is at ~/NVIDIA_GPU_Computing_SDK/C/bin/linux/release. After you compile, the bin directory is created automatically. Go to the NVIDIA_GPU_Computing_SDK/C/ directory, and type "make" then it starts toīuild. Ln -s /usr/lib/libglut.so.3.8.0 ~/NVIDIA_GPU_Computing_SDK/C/lib/libglut.so You must create a symbolic link for glutlibrary. Setenv LD_LIBRARY_PATH /usr/local/cuda/libĮxport LD_LIBRARY_PATH="/usr/local/cuda/lib"Įxport CUDA_INSTALL_PATH="/usr/local/cuda"Īfter you install CUDA_SDK. To use CUDA, you have to set some environment variables such as PATH, LD_LIBRARY_PATH and CUDA_INSTALL_PATH like below: You must download CUDA 2.3 (Choose Linux 32-bit, Redhat 5)ĬUDA toolkit is located in /usr/local/cuda. You have to install NVIDIA CUDA SDK in your home directory. This document is a guideline about how to install CUDA SDK in student's home directory for CS4803DGC spring 2011 in Linux machines in the States Lab.
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