MPI Raspberry pi 3 cluster
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The document discusses setting up a 4-node MPI Raspberry Pi cluster and Hadoop cluster. It describes the hardware and software needed for the MPI cluster, including 4 Raspberry Pi 3 boards, Ethernet cables, micro SD cards, and MPI software. It also provides an overview of Hadoop, a framework for distributed storage and processing of big data, noting its origins from Google papers and use by companies like Amazon, Facebook, and Netflix.
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MPI Raspberry pi 3 cluster
- 1. MPI Raspberry pi 3 & Hadoop cluster 4 nodes
- 2. MPI Raspberry pi cluster Why MPI Hardware Needed Software Needed Machine File MPI Code Python Code Output Finished product
- 3. Why MPI? Scientist during World War II used the same method of Parallel Computing to solve mathematical problems in the Manhattan Project. reduce the amount of time it took to solve a large mathematical problem. the people who performed these calculations were called computers. How far can you go with MPI?
- 4. Hardware you need X4 Raspberry pi 3 X5 Ethernet cat 5 cables X4 micro USB cables X4 8 GB micro SD One 5 port Ethernet switch Option but recommended one 4 port USB power hub
- 5. Software Needed MPICH MPI4PY Python to MPI interpreter
- 6. Machine File
- 7. MPI code
- 8. Python code
- 9. Output
- 10. Finished product
- 11. Hadoop Hadoop is a framework of tools based on Java that supports running Big Data. Inspired from Google’s GFS and MapReduce. It is open source. Relatively cheap to build. Has Fault Tolerant System.
- 12. Parts of Hadoop Hadoop consists of two main elements, HDFS (Hadoop Distributed File System) Name Node (Store the directories of all files in the cluster) Data Node (Store Data) MapReduce Job Tracker(Responsible for taking requests from client and assign to TaskTracker) Task Tracker(Perform MapReduce in DataNodes/Slave)
- 13. HDFS (Hadoop Distributed File System)
- 14. MapReduce
- 15. Use of Hadoop in Tech World Amazon Facebook Netflix eBay Twitter etc.
- 16. Thank You