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linux:servers:cuda [2016/01/31 09:05]
walter ↷ Links adapted because of a move operation
linux:servers:cuda [2017/11/16 05:51]
clee231 [Theano 0.7] -> [Theano 0.9]
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 ===== Authentication ===== ===== Authentication =====
-Uses ldap/​kerberos to authenticate against [[:​adgroups|AD]]. ​ In order to get access, you must be a part of the **ACMCudaAccess** group or higher privileged group. ​ Talk with an ACM System Administrator to provision this privilege.+Uses ldap/​kerberos to authenticate against [[admin:​adgroups|AD]]. ​ In order to get access, you must be a part of the **ACMCudaAccess** group or higher privileged group. ​ Talk with an ACM System Administrator to provision this privilege.
 ===== Home directory ===== ===== Home directory =====
-Mounted from [[:​arch_home_directories|Mozart]] using an NFS client+Mounted from [[linux:​arch_home_directories|Mozart]] using an NFS client
  
 ====== Hardware Specifications ====== ====== Hardware Specifications ======
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 ====== Software Configuration ====== ====== Software Configuration ======
  
-==== CUDA Toolkit ​7.==== +==== CUDA Toolkit ​9.==== 
-[[https://​developer.nvidia.com/​cuda-toolkit|CUDA Toolkit ​7.5]]+[[https://​developer.nvidia.com/​cuda-toolkit|CUDA Toolkit ​9.0.196]]
  
 The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs. The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs.
  
-The installation of CUDA Toolkit ​7.is installed at ''/​opt/​cuda/''​.+The installation of CUDA Toolkit ​9.0.196 is installed at ''/​opt/​cuda/''​.
  
-===== Theano 0.===== +===== Theano 0.===== 
-[[http://​www.deeplearning.net/​software/​theano/​|Theano 0.7]]+[[http://​www.deeplearning.net/​software/​theano/​|Theano 0.9]]
  
 Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. ​ It is currently installed for both python2 and python3. ​ You should be able to just type ''​import theano''​ at the top of your python script to use it's functionality. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. ​ It is currently installed for both python2 and python3. ​ You should be able to just type ''​import theano''​ at the top of your python script to use it's functionality.
 +
 +<WRAP center round todo 60%>
 +Note that MILA has stated that development of Theano will halt after release 1.0 due in late 2017. More information can be found in this thread: https://​groups.google.com/​forum/#​!msg/​theano-users/​7Poq8BZutbY/​rNCIfvAEAwAJ
 +</​WRAP>​
  
 ==== Theano Configuration ==== ==== Theano Configuration ====
linux/servers/cuda.txt · Last modified: 2021/05/02 21:36 (external edit)