DataScienceLab2017_Блиц-доклад
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The document outlines the use of BOINC (Berkeley Open Infrastructure for Network Computing) in data science by Vitalii Koshura and David P. Anderson. It provides links for setting up BOINC projects, including server installation options, client application examples for CPU and GPU, and resources for project management. Additionally, it includes power comparisons and various support links for developers.
DataScienceLab2017_Блиц-доклад
- 1. Distributed calculations: Use of BOINC in Data Science Vitalii Koshura, Software Developer @ Lohika <[email protected]>
- 4. BOINC - Berkeley Open Infrastructure for Network Computing From: Wikipedia
- 6. Supported devices, platforms and technologies
- 9. Power comparison Sunway TaihuLight 93 PFLOPS BOINC 158 PFLOPS
- 11. Launch new project ● Server ○ Install ■ VirtualBox image: https://boinc.berkeley.edu/trac/wiki/VmServer ■ Docker container: https://github.com/marius311/boinc-server-docker ■ make_project script: https://boinc.berkeley.edu/trac/wiki/MakeProject ○ Configure ■ config.xml ■ project.inc ● Task Generator: https://boinc.berkeley.edu/trac/wiki/WorkGeneration ● Validator: https://boinc.berkeley.edu/trac/wiki/ValidationSimple
- 12. Launch new project ● Client application ○ CPU ■ Singlethread app: https://github.com/BOINC/boinc/tree/master/samples/example_app ■ Mutithread app: https://github.com/BOINC/boinc/tree/master/samples/multi_thread ○ GPU ■ OpenCL (Intel, AMD, Nvidia): https://github.com/BOINC/boinc/tree/master/samples/openclapp ■ CUDA (Nvidia): https://github.com/BOINC/boinc/tree/master/samples/nvcuda ○ Android: https://github.com/BOINC/boinc/tree/master/samples/example_app ○ VirtualBox: https://boinc.berkeley.edu/trac/wiki/VmApps