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DTSTART;TZID=America/Detroit:20191010T150000
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SUMMARY:MICDE Seminar: Ali Yilmaz\, Professor\, Electrical and Computer Engineering\, The University of Texas at Austin
DESCRIPTION:Bio: Ali Yilmaz is a Professor of Electrical and Computer Engineering and a core faculty member at the Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Yilmaz received the Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2005. He spent 2005 to 2006 as a post-doctoral research associate with the Center for Computational Electromagnetics at the University of Illinois; in 2006\, he joined the faculty of The University of Texas at Austin. His research interests include computational electromagnetics (particularly fast frequency- and time-domain integral equation solvers)\, parallel algorithms\, antenna and scattering analysis\, bioelectromagnetics\, geoelectromagnetics\, and electronic packages. He has authored or co-authored over 170 papers in refereed journals and international conferences on these topics. \nUsing (Super)Computers Judiciously for Higher Fidelity Electromagnetic Analysis\nIncreasing the fidelity of the electromagnetic models generally increases the predictive power of the analyses based on the models. It also generally increases the results’ sensitivity to model features/parameters as well as the difficulty of constructing the models\, accurately solving the governing equations\, and interpreting the resulting data. Therefore\, one should base the analysis on the lowest-fidelity model one can get away with or\, equivalently\, the highest-fidelity model one can afford. The sweet spot for the tradeoff\, “the appropriate model”\, has changed over time in part because past successes in simulation-based science and engineering have increased expectations/requirements from electromagnetic analysis and in part because tremendous improvements in computing infrastructure and advances in computational methods have increased the affordability of complex analysis. Finding the appropriate model requires understanding both the benefits and the costs of analysis when a lower- or higher-fidelity model is used; neither side of the ledger\, however\, is known beforehand (unless one is repeating previously established analyses). A possible approach to revealing these unknowns is to construct models by gradually increasing their fidelity\, performing analysis at each fidelity level\, and comparing the analysis results and costs to those from the previous steps. I will show examples of this “analysis-driven modeling” in bioelectromagnetics (using the AustinMan and AustinWoman human body models) and signal integrity (using an electronic package example) by employing parallel algorithms and advanced integral-equation solvers on leading-edge supercomputers. \n The examples will highlight many of the challenges arising from this approach to modeling. An important one is that “the appropriate method” of analysis generally depends on the model\, e.g.\, a method can outperform alternatives for low-fidelity models but underperform them for high-fidelity ones; indeed\, inappropriate (but convenient) methods can not only inflate the cost side of the ledger but also deflate the benefit side\, leading to misjudgment of the appropriate model fidelity. Thus\, not surprisingly\, the development of appropriate electromagnetic models and appropriate computational methods are tightly linked (aka “if all you have is a hammer\, everything looks like a nail”). Unfortunately\, evaluating computational methods to find the appropriate one for a given model is surprisingly difficult\, even for unbiased experts\, as method performances depend not just on the models but also on the computers\, the software realizations of the methods\, and the users/developers of the software. On the one hand\, theoretical comparisons (e.g.\, of asymptotic complexities\, error convergence rates\, parallel scalability limits) are often incapable of factoring in the large impact of software and hardware infrastructure on the realized/observed performance of a computational method—a problem that has worsened as the traditional Dennard scaling of clock frequencies ended in the last decade. On the other hand\, empirical comparisons are beset by the same problems that physical measurements face (including irreproducible and uncertain results)\, require many (potentially low-efficiency) computations\, and suffer from the large number of alternative methods. I will discuss whether benchmark suites can improve the judicious use of computational methods for electromagnetic analysis and what the necessary ingredients for such benchmarks are. \nProf. Yilmaz is being hosted by Prof. Michielssen (EECS). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE students\, or a EEC graduate student\, and would like to join Prof. Yilmaz for lunch\, please RSVP here by October 8th.  \n 
URL:https://micde.umich.edu/event/fall2019-yilmaz-utaustin/
LOCATION:1008 FXB\, 1320 Beal Ave\, Ann Arbor\, MI\, 48109
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191011T140000
DTEND;TZID=America/Detroit:20191011T163000
DTSTAMP:20230905T171404Z
CREATED:20230905T171404Z
LAST-MODIFIED:20230905T171404Z
UID:10000287-1570802400-1570811400@micde.umich.edu
SUMMARY:Web Scraping with Python
DESCRIPTION:This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the requests\, beautifulsoup\, and retry modules with the browser developer tools. The workshop is intended for users with basic Python knowledge. Anaconda Python 3 will be used.
URL:https://micde.umich.edu/event/web-scraping-with-python-4/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191015T100000
DTEND;TZID=America/Detroit:20191015T120000
DTSTAMP:20230905T171404Z
CREATED:20230905T171404Z
LAST-MODIFIED:20230905T171404Z
UID:10000268-1571133600-1571140800@micde.umich.edu
SUMMARY:Introduction to NumPy (Python)
DESCRIPTION:This workshop will introduce you to the NumPy library in Python\, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth\, along with related linear algebra and random number capabilities. Some familiarity with Python is expected. Computers will be available to complete exercises.
URL:https://micde.umich.edu/event/introduction-to-numpy-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191016T133000
DTEND;TZID=America/Detroit:20191016T163000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000283-1571232600-1571243400@micde.umich.edu
SUMMARY:Geometric Network Analysis
DESCRIPTION:This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network\, but the ideas and techniques apply to similar network such as the water and electricity distribution networks and gas pipelines. We will use open source tools in R and QGIS. \nYou should know the introductory concepts and tools in GIS and should be familiar with R. Familiarity with QGIS is not required.
URL:https://micde.umich.edu/event/geometric-network-analysis/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191017T113000
DTEND;TZID=America/Detroit:20191017T123000
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CREATED:20230905T171337Z
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UID:10000247-1571311800-1571315400@micde.umich.edu
SUMMARY:MICDE Seminar: Janet Scheel\, Associate Professor\, Physics\, Occidental College
DESCRIPTION:Bio: Dr. Scheel has taught at a variety of higher education institutions\, including California Lutheran University\, Caltech\, and Cornell University. She also conducted research at Cal Lutheran\, Caltech\, Cornell\, and Argonne National Laboratory. She is coauthor of Analytical Mechanics\, an advanced undergraduate physics textbook. She is currently a Mercator Fellow as a part of the Priority Programme SPP 1881 of the Deutsche Forschungsgemeinschaft. Janet Scheel’s research deals with pattern formation and turbulence. The particular system she studies is Rayleigh-Benard convection. \nNumerical Simulations of Turbulence in Heated Fluids\nTurbulent systems are all around us\, from waves crashing on our beaches\, to smoke rising from the fires in our mountains\, to the air that can disrupt our smooth airline flights. But\, turbulent systems are not well understood. Rayleigh-Benard Convection is a more simplified system which captures some of the key features of turbulence\, including thermal plumes\, thin boundary layers and large-scale flow. In Rayleigh-Benard convection\, an enclosed fluid is bounded by horizontal parallel plates kept at a constant temperature difference. Results from numerical simulations of the equations which describe Rayleigh-Benard convection will be discussed and compared to experimental and theoretical results. These include flows in air and liquid metals in confined containers in addition to more horizontally extended systems. \nThis seminar is jointly sponsored with the department of Complex Systems. Prof. Scheel is being hosted by Prof. Doering (Complex Systems\, Mathematics and Physics). If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. If you are an MICDE students and would like to join Prof. Scheel for lunch\, please RSVP  by October 15th. 
URL:https://micde.umich.edu/event/fall2019-scheel-occidentalcollege/
LOCATION:Weiser Hall\, Room 747\, 500 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/07/Janet-Scheel.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191018T130000
DTEND;TZID=America/Detroit:20191018T143000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000278-1571403600-1571409000@micde.umich.edu
SUMMARY:Back to a Future: Asynchronous Computing with futures in R
DESCRIPTION:Asynchronous computing is an umbrella term encompassing parallel and concurrent computational programs in which some tasks can be executed without a strict sequential order.  A future is a programming abstraction for a value that may be available at some future point in time and allows.  Like other forms of parallelism\, futures are a powerful tool for writing programs that efficiently make use of available computing resources.  At the same time\, futures can also be used to make interactive data analyses more time efficient.  \n In this workshop\, we’ll discuss futures as implemented in the R package “future” and provide example use cases for both interactive analysis and batch processing.  
URL:https://micde.umich.edu/event/back-to-a-future-asynchronous-computing-with-futures-in-r/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191018T150000
DTEND;TZID=America/Detroit:20191018T163000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000286-1571410800-1571416200@micde.umich.edu
SUMMARY:Mediation Models: A demonstration using multiple packages
DESCRIPTION:Mediation models are commonly applied in a variety of modeling settings\, and people will typically flock to tools specific to structural equation modeling like Mplus or Amos for analysis.  However\, not only are such tools not necessary for the more common implementations of mediation\, they are often limiting and have various drawbacks. \n\nFortunately there are a variety of packages in R that can do mediation analysis\, often using straightforward code and familiar models or other tools.  This presentation will demonstrate a variety of ways in which to do a standard mediation model in R (and Python)\, and discuss the available complexities that can be handled with the tools\, as well as their corresponding strengths and weaknesses.\n\nNote that this is not an introduction to mediation analysis\, but is a demonstration of tools.  Some familiarity with R and mediation models will be assumed.
URL:https://micde.umich.edu/event/mediation-models-a-demonstration-using-multiple-packages-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191023T100000
DTEND;TZID=America/Detroit:20191023T120000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000284-1571824800-1571832000@micde.umich.edu
SUMMARY:Introduction to Performance Analysis of Scientific Software
DESCRIPTION:We all had this: “My program is too slow”. We all have heard: “Use Fortran and C++\, they are fast.”  But will it really help? We all have heard also: “Don’t bother\, use Python and R on a better computer”\, and “HPC clusters are fast”.  But what does “better” and “fast” even mean? In this workshop\, we will observe\, measure and discuss performance behavior of various scientific workloads\, and learn about typical performance classes and basic performance measuring methodology.  In the end\, you will be able to classify your expected workload and make an educated guess whether changing the programming language\, upgrading the computer\, or applying for cluster computing time would likely be advantageous. \n  \nRequirements: If you wish to follow hands-on demonstrations\, you will need to bring your own laptop and have a UMich account.
URL:https://micde.umich.edu/event/introduction-to-performance-analysis-of-scientific-software/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191024T170000
DTEND;TZID=America/Detroit:20191024T190000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000293-1571936400-1571943600@micde.umich.edu
SUMMARY:SC2 Workshop Series: Intro to Jugular: Virtual Reality and 3D Rendering
DESCRIPTION:Learn how to format\, load and visualize your data in 3D. Jugular works in U-M M.I.D.E.N.\, the Occulus Rift and any desktop window. The U-M 3D Lab will teach this workshop and show us the available tools in-house. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. Learn more about the workshop series and the Visualization Challenge here. \nInstructor: Theodore Hall\, U-M 3D Lab\, The Duderstadt Center \nSpace is limited. Register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-intro-to-jugular-virtual-reality-and-3d-rendering/
LOCATION:U-M 3D Lab\, Digital Media Commons\, Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,SC2,Workshops
GEO:42.291072;-83.715734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=U-M 3D Lab Digital Media Commons Duderstadt Center 2281 Bonisteel Blvd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2281 Bonisteel Blvd:geo:-83.715734,42.291072
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191028T160000
DTEND;TZID=America/Detroit:20191028T160000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000297-1572278400-1572278400@micde.umich.edu
SUMMARY:Mid West Mechanics Seminar: Jacqueline H. Chen\, Senior Scientist\, Sandia National Laboratories
DESCRIPTION:Bio: Jacqueline H. Chen is a Senior Scientist at the Combustion Research Facility at Sandia National Laboratories. She has contributed broadly to research in turbulent combustion elucidating turbulence-chemistry interactions in combustion through direct numerical simulations. To achieve scalable performance of DNS on heterogeneous computer architectures she leads an interdisciplinary team of computer scientists\, applied mathematicians and computational scientists to develop an exascale direct numerical simulation capability for turbulent combustion with complex chemistry and multi- physics. She is a member of the National Academy of Engineering and a Fellow of the Combustion Institute and the Americal Physical Society. She received the Combustion Institute’s Bernard Lewis Gold Medal Award in 2018 and the Society of Women Engineers Achievement Award in 2018. \nTowards Exascale Simulation of Turbulent Combustion in Complex Flows Relevant to Efficient Clean Engines\nDirect numerical simulation (DNS) methodology and computing power have progressed to the point where it is feasible to perform DNS in mildly complex geometries representative of flow configurations encountered in practical combustors. These complex flows encompass effects of mean shear\, flow recirculation\, and wall boundary layers together with turbulent fluctuations which affect entrainment\, mixing and combustion. Recent DNS studies with complex flows relevant to efficient low emissions gas turbine and internal combustion engines will be presented. Through application co-design with computer scientists a data centric asynchronous programming system has been used to refactor the DNS code\, S3D\, resulting in improved time-to-solution and overall performance on heterogeneous architectures. The programming system also provides more efficient and effective composition of in situ analytics and machine learning techniques. \nContact Melissa McGeorge (mcgeorge@umich.edu) for more details.
URL:https://micde.umich.edu/event/mid-west-mechanics-seminar-jacqueline-h-chen-sandia-national-laboratories/
LOCATION:107 Gorguze Family Laboratory\, 2609 Draper Dr\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/JacquelineChen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191030T130000
DTEND;TZID=America/Detroit:20191030T160000
DTSTAMP:20230905T171300Z
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000295-1572440400-1572451200@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMark Champe\nResearch Computing Services\nLSA Technology Services \nMATERIALS\nLecture notes\nGreat Lakes HPC cluster \nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a user login\, a Slurm account\, and be enrolled in Duo. The user login allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare jobs for submission. The Slurm account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster. \nUSER LOGIN\nIf you don’t already have a Great Lakes user login\, please visit the application page. \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \nLAPTOP PREPARATION\nYou do not need to bring your own laptop to class. The classroom will provide Windows or Mac computers\, which require your uniqname and UMICH (AKA Level 1) password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so: please see our web page on Preparing your laptop to use Flux (those instructions apply to Great Lakes as well). However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.
URL:https://micde.umich.edu/event/research-computing-on-the-great-lakes-cluster-5/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191031T080000
DTEND;TZID=America/Detroit:20191031T170000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000275-1572508800-1572541200@micde.umich.edu
SUMMARY:NSF Computational Mechanics Vision Workshop
DESCRIPTION:Boston University\, Duke University\, and the University of Michigan have organized the 2019 Computational Mechanics Workshop to solicit and synthesize directions for computational mechanics research and education in the United States over the next decade and beyond from a diverse cross section of scientists and engineers. Topics to discuss include the following four broad themes: machine learning/big data\, manufacturing\, risk/uncertainty engineering (including climate\, infrastructure\, natural disasters\, etc.)\, and medicine. \nParticipants\nWorkshop is open to all interested faculty. If you’re interested in attending\, please contact us at micde-events@umich.edu to reserve your spot.
URL:https://micde.umich.edu/event/nsf-computational-mechanics-vision-workshop/
LOCATION:Rackham Amphitheatre\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
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END:VEVENT
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