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SUMMARY:Machine Learning on Great Lakes
DESCRIPTION:OVERVIEW\n\n\nThis workshop will go over methods and best practices for running machine learning applications on Great Lakes. We will briefly outline machine learning before stepping through a hands-on example problem to load a project and submit a job to the HPC cluster. Participants are expected to be familiar with Python\, the command line\, and basic Great Lakes functionality (logging in and navigating the directory structure). Participants must create a user account on Great Lakes prior to the workshop and are required to pre-register to gain access to a training account. \nINSTRUCTORS\nMeghan Richey\nMachine Learning Specialist\nInformation and Technology Services – Advanced Research Computing \nMeghan Richey is a machine learning specialist in the Advanced Research Computing (ARC) department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies\, specializing in natural language processing and convolutional neural networks. Before her position at the university\, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts. \nA Zoom link will be provided to the participants the day before the class. Registration is required.\n\n\nInstructor will be available at the Zoom link\, to be provided\, from 1:00-2:00 PM for computer setup assistance. \nPlease note\, this session will be recorded.   \nTo register and view more details\, please refer to the linked TTC page. \n\nIf you have questions about this workshop\, please send an email to the instructor at richeym@umich.edu
URL:https://micde.umich.edu/event/https-ttc-iss-lsa-umich-edu-ttc-sessions-machine-learning-for-great-lakes/
LOCATION:Your Desktop
CATEGORIES:Data Science,Great Lakes,High Performance Computing,Workshops
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DTSTART;TZID=America/Detroit:20211020T100000
DTEND;TZID=America/Detroit:20211020T113000
DTSTAMP:20260606T152044
CREATED:20211001T162623Z
LAST-MODIFIED:20230217T195752Z
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SUMMARY:Getting Started with the Python Multiprocessing Package
DESCRIPTION:OVERVIEW\nThis workshop will provide a gentle introduction to using the multiprocessing package in Python for parallelizing and speeding up code. We will use hands-on programming exercises to demonstrate how to quickly get started with commonly used components of the multiprocessing package. Note that a Great Lakes account is optional for this workshop\, but you must have an account before the start of the workshop if you wish to use Great Lakes. See below for account request information. If you do not wish to use Great Lakes\, you must have python installed on your computer before the start of the workshop. \nINSTRUCTOR\nArmand Burks\nResearch Data Scientist Intermediate\nInformation and Technology Services – Advanced Research Computing \nArmand Burks\, Ph.D.\, is a research data scientist intermediate for Advanced Research Computing – Technology Services (ARC-TS)\, a division of Information and Technology Services (ITS). Armand helps researchers with establishing data workflows\, transforming data between different formats\, programming support\, optimizing/parallelizing code\, cloud computing with Hadoop\, and developing custom code (C++\, Java\, Python). He earned a B.S. in computer science from Alabama State University in 2008\, an M.S. in computer science and engineering from Michigan State University in 2010\, and a Ph.D. in computer science from Michigan State University in 2017. \nMATERIALS\nPrerequisites: Familiarity with connecting to the Great Lakes cluster via SSH/PuTTY and UMVPN\, Basic Linux command line familiarity\, basic programming experience in Python\, and an understanding of loops and basic data structures such as lists are all necessary for this hands-on workshop. \nFor more information on The Great Lakes cluster\, click here. \nClick here to fill out an account request form\nNote: 3 business days are needed for creation of accounts\nStudents should fill in “Workshop” in the “Advisor” section. \nCampus VPN access is required for off-campus access to Great Lakes but not from on campus. An SSH client\, and Duo will be required during the workshop in order to use Great Lakes.  If you do not have this software already\, please download and install the Cisco AnyConnect VPN software following these instructions: https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started You will need this to be able to use the ssh client. You will need to use the ‘Campus All traffic’ profile in the Cisco client. \n  \nRegister here \nA Zoom link will be provided to the participants the day before the class. Registration is required. \nPlease note\, this session will be recorded. \nIf you have questions about this workshop\, please send an email to the instructor at arburks@umich.edu \n\n\n\nArmand R. Burks\, Ph. D. \nResearch Data Scientist\nAdvanced Research Computing\nSchool of Information\nUniversity of Michigan
URL:https://micde.umich.edu/event/https-ttc-iss-lsa-umich-edu-ttc-sessions-getting-started-with-the-python-multiprocessing-package/
LOCATION:Your Desktop
CATEGORIES:Data Science,Data Science Skills Series,Great Lakes,High Performance Computing,hpc-events,Info Session,Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211022T130000
DTEND;TZID=America/Detroit:20211022T160000
DTSTAMP:20260606T152044
CREATED:20210930T201551Z
LAST-MODIFIED:20210930T201551Z
UID:10000532-1634907600-1634918400@micde.umich.edu
SUMMARY:Advanced research computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python\, R\, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP. \n\nTo register and view more details\, please refer to the linked TTC page.
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2-2-2-3/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
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