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DTSTART;TZID=America/Detroit:20220311T090000
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DTSTAMP:20260606T094948
CREATED:20220110T225518Z
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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-7-2-2-2-3-2-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220317T100000
DTEND;TZID=America/Detroit:20220317T120000
DTSTAMP:20260606T094948
CREATED:20220113T170314Z
LAST-MODIFIED:20230217T195820Z
UID:10000561-1647511200-1647518400@micde.umich.edu
SUMMARY:Processing the CoreLogic Data on Great Lakes using PySpark
DESCRIPTION:OVERVIEW\nThis workshop provides an introduction to processing CoreLogic data using PySpark on the Great Lakes cluster. The CoreLogic dataset contains aggregated data from individual\, parcel-level real estate transactions and financial records. U-M has licensed access to Tax\, Deed\, and Foreclosure data at the parcel level for every county in the United States. We will demonstrate how to request access to the dataset\, and how to quickly get started with processing and running some basic analytics on the data with the user-friendly\, browser-based Open OnDemand tool and the PySpark language on the cluster. \nNote that a Great Lakes account is required for this workshop\, and you must have an account before the start of the workshop in order to participate in the exercises. See below for account request information. \nINSTRUCTORS:\n\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. \n  \nJule Krüger\nProgram Manager\nCenter for Political Studies\, Institute for Social Research and Information and Technology Services – Advanced Research Computing \n\nJule Krüger\, Ph.D.\, is the ISR Program Manager for Big Data and Data Science\, based within the Center for Political Studies at the Institute for Social Research\, and a member of the Advanced Research Computing Consulting Services.  She has more than 10 years of experience in processing\, analyzing and interpreting data for social science research\, and automating workflows for scalable\, auditable and reproducible analysis. \nMATERIALS \nPrerequisites: Participants will need an active Great Lakes account and login in order to complete hands-on exercises. Some familiarity with PySpark is helpful. \nFor more information on The Great Lakes cluster\, click here https://arc.umich.edu/greatlakes/. \nClick here to fill out an account request form https://arc.umich.edu/login-request \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. \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.   \n\nIf you have questions about this workshop\, please send an email to the instructors at julianek@umich.edu \n 
URL:https://micde.umich.edu/event/processing-the-corelogic-data-on-great-lakes-using-pyspark/
LOCATION:Your Desktop
CATEGORIES:Great Lakes
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220317T140000
DTEND;TZID=America/Detroit:20220317T160000
DTSTAMP:20260606T094948
CREATED:20220112T185149Z
LAST-MODIFIED:20220112T185149Z
UID:10000560-1647525600-1647532800@micde.umich.edu
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. \nINSTRUCTOR:\nMeghan Dailey\nMachine Learning Specialist\nInformation and Technology Services – Advanced Research Computing \nMeghan Dailey 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-2/
LOCATION:Your Desktop
CATEGORIES:Data Science,Great Lakes,High Performance Computing,Workshops
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