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deptlab:usingthelab [2025/01/21 00:29] – [Programs/Services] localadmindeptlab:usingthelab [2025/11/28 22:25] (current) – [Status] localadmin
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 ===== Status ===== ===== Status =====
-  * Hadoop is up. +  * Hadoop is online. 
-  * Spark is up.+  * Spark is online. 
 + 
 ===== Accessing the Lab ===== ===== Accessing the Lab =====
  
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 ==== Hadoop ==== ==== Hadoop ====
-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 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.1737419392.txt.gz · Last modified: by localadmin