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deptlab:usingthelab

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deptlab:usingthelab [2025/01/20 18:31] – [GPU Computing] localadmindeptlab:usingthelab [2025/02/20 14:41] (current) – [Status] localadmin
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 ===== Status ===== ===== Status =====
-  * Hadoop is up.+  * Hadoop is offline for security reasons.
   * Spark is up.   * Spark is up.
 +  * Lab13 is down.
 +  * Lan21 is down.
 ===== Accessing the Lab ===== ===== Accessing the Lab =====
  
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 The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. The Hadoop head node is zoidberg.cs.ndsu.nodak.edu The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. The Hadoop head node is zoidberg.cs.ndsu.nodak.edu
 ==== Spark ==== ==== Spark ====
-Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.+Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. The spark head node is spark.cs.ndsu.edu
 ==== GPU Computing ==== ==== GPU Computing ====
 Labs 02-05 contain NVIDIA 24GB Tesla M40 GPU's (These are past current Tensorflow version support) and Labs 06-09 contain NVIDIA 16GB Tesla P100 GPU's. Labs 02-05 contain NVIDIA 24GB Tesla M40 GPU's (These are past current Tensorflow version support) and Labs 06-09 contain NVIDIA 16GB Tesla P100 GPU's.
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 Use responsibly.   Use responsibly.  
  
-===== MPI =====+==== MPI ====
 MPICH is installed in the lab. MPICH is a high-performance and widely portable implementation of the  MPI-3.1 standard from the Argonne National Laboratory. It supports different computation and communication platforms including commodity clusters, SMPs, massively parallel systems, and high-speed networks. MPICH is installed in the lab. MPICH is a high-performance and widely portable implementation of the  MPI-3.1 standard from the Argonne National Laboratory. It supports different computation and communication platforms including commodity clusters, SMPs, massively parallel systems, and high-speed networks.
  
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 X2go install on a Mac is a bit different. It requires Xquartz to be installed. https://wiki.cs.ndsu.nodak.edu/doku.php?id=helpdocs:x2go:windows&s[]=x2go#x2go_on_mac It usually works but sometimes it doesn't and neither Google or I have been able to determine why. X2go install on a Mac is a bit different. It requires Xquartz to be installed. https://wiki.cs.ndsu.nodak.edu/doku.php?id=helpdocs:x2go:windows&s[]=x2go#x2go_on_mac It usually works but sometimes it doesn't and neither Google or I have been able to determine why.
 +
 +x2go is also available for Linux and can sometimes be made to work on a Chromebook.
 ===== Help! ===== ===== Help! =====
  
 If you need help using the 244 lab. **Contact your instructor or academic advisor**. If you need help using the 244 lab. **Contact your instructor or academic advisor**.
deptlab/usingthelab.1737419473.txt.gz · Last modified: 2025/01/20 18:31 by localadmin