BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Michigan Institute for Computational Discovery and Engineering - ECPv6.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211020T100000
DTEND;TZID=America/Detroit:20211020T113000
DTSTAMP:20230217T195752Z
CREATED:20211001T162623Z
LAST-MODIFIED:20230217T195752Z
UID:10000533-1634724000-1634729400@micde.umich.edu
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210412
DTEND;VALUE=DATE:20210417
DTSTAMP:20230905T171443Z
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000468-1618185600-1618617599@micde.umich.edu
SUMMARY:NVidia GTC 2021 Conference
DESCRIPTION:NVIDIA has their GTC technical conference April 12-16. It is free to attend and all online so no travel. Making you aware of this opportunity to hear from a global community of developers\, researchers\, engineers\, and innovators who are delivering over a 1000 sessions\, interactive panels\, demos\, and research posters. Registration is now open and the session catalog is published. Register HERE \nKeynote \nYou will want to attend NVIDIA CEO Jensen Huang’s keynote.  Traditionally NVIDIA uses Jensen’s keynote to make important announcements. \n\nKeynote: April 12\, 11:30am-12:30pm Eastern Time\n\nSessions \nSessions ranging from very technical developer and researcher-focused talks\, to business and implementation focused topics from leaders in their field. Below are a few examples of the sessions available at GTC 2021. (abstracts and details in the Session Catalog) \n\nAccelerating Ray Tracing for the IceCube Neutrino Observatory with CUDA\n\nBenedikt Reidel\, Computing Manager\, University of Wisconsin-Madison and IceCube Particle Astrophysics Center \n\nUsing Molecular Simulations to Help Drive Pharmaceutical Drug Discovery\n\nDavid Mobley\, Professor University of California\, Irvine \n\nConvergence of AI and HPC to Solve Grand Challenge Science Problems\n\nRommie Amaro\, Professor University of California\, Irvine \n\nToward a One-Hour Genomic Workup\n\nTychele Turner\, Assistant Professor Washington University in St Louis \n\nGPU-Accelerated Quantum Chemistry and Molecular Dynamics\n\nNVIDIA Engineers \nRegister today\, it only take a minute or two!
URL:https://micde.umich.edu/event/nvidia-gtc-2021-conference/
CATEGORIES:Conference,Featured Events,GPU,High Performance Computing,hpc-events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210225T160000
DTEND;TZID=America/Detroit:20210225T170000
DTSTAMP:20260612T020849Z
CREATED:20230905T171259Z
LAST-MODIFIED:20260612T020849Z
UID:10000453-1614268800-1614272400@micde.umich.edu
SUMMARY:Ph.D. Seminar: Anil Yildirim & Jiale Tan
DESCRIPTION:ANIL YILDIRIM\, GRADUATE STUDENT\, AEROSPACE ENGINEERING & SCIENTIFIC COMPUTING \nBio: Anil Yildirim is a PhD candidate in Aerospace Engineering and Scientific Computing. His research focuses on the development and application of robust computational tools in the context of multidisciplinary design optimization for aircraft configurations. \nROBUST AND HIGH-PERFORMANCE TOOLS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION: The development of future sustainable aircraft heavily relies on the design and integration of advanced propulsion systems. However\, the design of these systems are challenging due to the tightly coupled interactions between the aerodynamic and the propulsion disciplines. My research focuses on enabling these advanced technologies using aeropropulsive design optimization\, in which the aerodynamic and propulsion system designs are optimized in a coupled manner. In this process\, I use multiple robust and high-performance computational tools including the computational fluid dynamics (CFD) solver we have been developing in the MDO Lab at the University of Michigan. In this talk\, I will cover some recent advancements in the field of CFD-based aeropropulsive design optimization and the computational methodologies we have been using for this work. \n  \nJIALE TAN\, GRADUATE STUDENT\, EPIDEMIOLOGY & SCIENTIFIC COMPUTING \nBio: Jiale is a second year Phd student working with Prof. Rafael Meza in Epidemiology. His interest is to apply computational skills to public health challenges so that he can develop and apply modeling techniques for infectious and noninfectious diseases\, including for viral infections like HIV and HCV\, and eventually use them for modeling non-communicable diseases that disproportionately affect global health like cancer. \nMARKOV MULTISTATE TRANSITION MODEL ON ELECTRONIC NICOTINE DELIVERY SYSTEMS AND TRADITIONAL CIGARETTES: Electronic nicotine delivery systems (ENDS) have dramatically changed the landscape of tobacco products patterns in the USA since 2011. The impact of ENDS use on traditional cigarettes smoking remains a topic of considerable debate. A Markov multistate transition model was used to estimate transition rates (Hazard rate) between ENDS and cigarette use states (25 use states); never user\, non-current experimental user\, non-current regular user\, current experimental user\, and current regular user for each product. A 25×25 transition matrix was generated from this model. Parallel computations using 150 processors was used to estimate the transition rates. The Population Assessment of Tobacco and Health study\, which includes longitudinal data from 11\,475 youth of ages 12 to 24 years from 2013-2018 was used to calibrate the model. The hazard estimates show the patterns of ENDS and cigarette use experimentation and transition to regular use. Next steps will assess the impact of different sociodemographic covariates (age\, sex\, race\, education\, household income) on the estimated transition rates. \n\nThis event is part of MICDE’s Winter 2021 seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nThis webinar was not recorded for public distribution. \nQuestions? Email MICDE-events@umich.edu \n\n 
URL:https://micde.umich.edu/event/ph-d-seminar-anil-yildirim-jiale-tan/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,hpc-events,MICDE PhD Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200922T130000
DTEND;TZID=America/Detroit:20200922T160000
DTSTAMP:20230905T171253Z
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000411-1600779600-1600790400@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n​ \nPRE-REQUISITES \nNone. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager \nHITS Academic IT – HPC team \nKen is a High Performance Computing Consultant with the Health Information Technology & Services (HITS) Academic IT – HPC team at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMATERIALS \n\nLecture Notes\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCOURSE PREPARATION \nYou will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to training host. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the training host. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software.  A demonstration of this software will be given during class.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nDuring class you will be given the name of the training host to be able to participate in the hands-on activities. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note\, this session will be recorded.   \nInstructor will be available at the Zoom link\, to be provided\, from 12-1 PM for computer setup assistance. \n\nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-24/
LOCATION:Your Desktop
CATEGORIES:hpc-events,Workshops
END:VEVENT
END:VCALENDAR