November 2019 - Affiliates - mailman3.cels.anl.gov

Reminder -- Argonne All-Hands Meeting Tomorrow
by Habib, Salman 13 Nov '19

13 Nov '19

Hi Everyone, This is a reminder that Paul Kearns will host an Argonne All-Hands Meeting Thursday, Nov. 14, from 10 to 11 a.m. Topics include ultrafast electron microscope capabilities at the Center for Nanoscale Materials, the evolution of the Chain Reaction Innovations program, news on the APS Upgrade, a look back and ahead with Lab Ops leaders, and recent DOE honors. The meeting will take place in the Building 402 Auditorium and will be broadcast to additional locations: • Building 200 Auditorium • Building 203 Auditorium • Building 212, Room A157 • Building 241, Room D172 • Building 362 Auditorium • Building 446 Auditorium • Washington DC office, Room A05 All-hands meetings are an opportunity for all of us to see how our work fits into the big picture at Argonne and how we impact the Lab. I encourage you to attend and support your teams and our colleagues. Best Salman

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REMINDER: Argonne Computing Coffee Hour Today in the Viz Lab from 2:00-3:00
by Werner, Janet M. 13 Nov '19

13 Nov '19

Hello, The weekly Argonne Computing Coffee Hours are going well with having presentations each week to facilitate everyone getting to know about each other’s computing activities to enable more collaborations. The coffee hours take place on Wednesdays, 2pm – 3pm in the Viz Lab on the 4th floor, 4312. The speaker for today is Craig Stacey. The title of Craig’s talk is “Working and Collaborating in the new General Compute Environment (GCE)”. Janet -- Computing mailing list Computing(a)anl.gov https://lists.cels.anl.gov/mailman/listinfo/computing

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Division Speakers
by Tezak, Samantha L. 12 Nov '19

12 Nov '19

Good morning CPS, Thank you to everyone who has already presented at the bi-weekly division meetings. You can view past posters and slides in Box<https://anl.box.com/s/3kca6d0gu4il8j8o2gghcnl3714smh9k>. We are now scheduling for 2020. If you have not presented yet, let me know the date that will work for you in the new year. There is a schedule available in Box with meeting dates. Samantha *************************************** Samantha L Tezak Executive Assistant, CPS Division Argonne National Laboratory 9700 S. Cass Avenue Lemont, IL 60439 Tel: (630) 252-6250 E-mail: stezak(a)anl.gov<mailto:[email protected]> **************************************** P Please consider the environment before printing this e-mail

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Interest in NSF RFI?
by Habib, Salman 11 Nov '19

11 Nov '19

Hi Everyone, I there's any interest in responding to the RFI below, do let me know. The aim is to have a coordinated response with DSL, MCS, et al. Best Salman From: Advisory Committee for Cyberinfrastructure <ACCI(a)LISTSERV.NSF.GOV><mailto:[email protected]> on behalf of "Parashar, Manish" <mparasha(a)NSF.GOV><mailto:[email protected]> Date: Wednesday, October 23, 2019 at 8:59 AM To: "ACCI(a)LISTSERV.NSF.GOV"<mailto:[email protected]> <ACCI(a)LISTSERV.NSF.GOV><mailto:[email protected]> Subject: RFI on Data-Focused Cyberinfrastructure Needed to Support Future Data-Intensive Science and Engineering Research Dear Colleagues, I would like to request your help in widely distributing NSF 20-015, Request for Information (RFI) on Data-Focused Cyberinfrastructure Needed to Support Future Data-Intensive Science and Engineering Research, [https://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf20015] The challenges of growing volumes of scientific data – their availability, transmission, accessibility, management, and utilization – have become urgent and ubiquitous across NSF-supported science, engineering, and education disciplines. To inform the formulation of a strategic NSF response to these imperatives, the RFI asks the research community to update NSF on their data-intensive scientific questions and challenges and associated needs specifically related to data-focused cyberinfrastructure. We would like to receive an ample and broadly representative response from across the NSF research domains and disciplines. This was the case with successful 2017 NSF RFI on Future Needs for Advanced Cyberinfrastructure (NSF CI 2030)[1], which informed subsequent CI investments and a new Vision for Transforming Science Through Cyberinfrastructure, https://www.nsf.gov/cise/oac/vision/blueprint-2019/. As with NSF CI 2030, we intend to post the NSF 20-015 RFI responses publicly in the spring/summer 2020 timeframe for useful reference by NSF colleagues and the community. To respond to this RFI please follow the guidelines outlined in the NSF 20-015 document [https://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf20015] For questions concerning this RFI please contact us via nsfdatacirfi(a)nsf.gov<mailto:[email protected]>. This dedicated email address helps us to respond to your questions rapidly and in a coordinated way. Thank you. Regards, Manish Parashar Director, Office of Advanced Cyberinfrastructure (OAC) National Science Foundation [1] See https://www.nsf.gov/cise/oac/ci2030/rfi_responses.jsp and https://www.nsf.gov/cise/oac/ci2030/ACCI_CI2030Report_Approved_Pub.pdf. ########################################################################

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transition from CPS Slack workspace to CELS workspace
by Williams, Timothy J. 08 Nov '19

08 Nov '19

Dear CPS, We are going to transition from our free-version CPS Slack workspace (anl-cps.slack.com) to using the paid-version CELS Slack workspace (cels-anl.slack.com) The CELS workspace was created using the old ALCF workspace as a starting point, so those of you who were already using the ALCF one already have access to the CELS one. Those of you who had not been using the ALCF workspace before, please go to https://cels-anl.slack.com<https://cels-anl.slack.com/> and sign up using your @anl.gov email address (any address ending in .anl.gov is allowed, I believe). Benefits to this move: * You now need to only use one workspace to use to direct-message anyone in CELS, whether they are CPS, ALCF, or other (as long as they have joined this workspace). * The paid workspace has unlimited history, more options for add-ins, etc. If you are worried about distractions from traffic on all the ALCF or other not-specifically-CPS channels, there are plenty of ways to make Slack be quiet except for messages that you care about. I can help with that if you have questions. We should use the “cps_“ prefix convention for naming any CPS-relevant channels we create. So far, only these exist: * #cps_general - General discussion topics related to CPS work. Idle comments and socializing should normally go on #cps_random. * #cps_random - Idle chit-chat and socializing for CPS division. I’ll be archiving the CPS workspace channels in the next few days, and deleting the workspace soon thereafter. Best regards, Tim ------- Timothy J. Williams, Ph.D. --- Argonne National Laboratory --- tjwilliams(a)anl.gov<mailto:[email protected]> -------

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Reminder: New NIU CS Faculty Talks this Friday, 11/8 @ 10:00am Building 241 D172
by Papka, Michael E. 07 Nov '19

07 Nov '19

The ALCF is hosting Northern Illinois University computer science faculty members Pratool Bharti, David Koop, and Maoyuan Sun, tomorrow, November 8, for a series of short talks, starting at 10AM, in the Energy Sciences Building (Building 241)/Room D172. Please attend if your schedule permits. Mike Context-aware Machine Learning Models for Personalized and Public Health Pratool Bharti, Assistant Professor Innovations in designing Machine Learning models (and creating novel applications) have been growing at a rapid pace in the last decade. More recently, there is an earnest interest in context-aware learning, where the goal is to carefully extract limited contexts within the domain of interest during model development and execution. Such contexts can be many and also domain specific—for example, physiology of the human body in classifying physical activities; evolution of anatomies in classifying biological species; dynamically changing outdoor environments during modeling and optimization of transportation systems; and much more. The motivation for integrating contexts during learning not only improves accuracy, but also saves on implementation/ execution cost. However, this process is challenging and often requires multi-disciplinary expertise. In this talk, I will highlight my recent technical contributions in this space. First, I will present my research on designing physiology-aware learning models to accurately classify complex human activities using wearable devices that are significant for personalized elder care. The innovation here is careful integration of multi-modal inertial sensory data from multiple wearable devices emplaced across multiple positions in the human body, and finally integrating human physiology into decision making. Second, I will present my results on neural network models to classify genus and species types of mosquitoes from smart generated images taken by experts or by ordinary citizens. The innovation here lies in extracting contextually relevant anatomies (e.g., head, thorax, wings, legs) from mosquito images, and assigning appropriate weights to only the most critical anatomical component(s) for accurate classification. This work is expected to have significant impact in automating mosquito surveillance and related public health efforts in the US and across the globe. I will also briefly explain my work on vision-guided automation of freight transportation under challenging environmental conditions and dynamics. Supporting Reproducible Exploratory Data Analysis David Koop, Assistant Professor As computational data analysis and visualization tools permeate more fields, the ability to generate results has often outpaced the ability to meaningfully record and reflect on them. Interactive visual applications on the web allow users to explore data and gain insight, but these findings are often ephemeral, lost when a new page is loaded. Computational notebooks combine cells of code with their outputs and explanatory text, and have become key tools in exploratory data analysis. However, the ability to modify and reorder cells often produces unknown or ambiguous dependencies, leading to problems with reproducing past results. In both settings, being able to rapidly explore data seems to be in tension with being able to reproduce and extend that work. My research aims to develop methods that improve the reproducibility of interactive web applications and computational notebooks without impeding the fast and flexible analyses these environments facilitate. Furthermore, making individual explorations more robust and reproducible can often enhance collaboration, allowing others to understand and extend that work. Engaging Data with Visual Analytics Maoyuan Sun, Assistant Professor We are in the midst of a data deluge that shows no signs of slowing down. Human behavior is increasingly mediated by technology that captures, stores, and transmits data at speeds and scales never before imagined. In such an increasingly data-rich world, enabling humans to make sense of big data offers us almost boundless possibilities to learn about ourselves and improve the world. In this talk, I will introduce visual analytics, an interdisciplinary field that marries information visualization with data mining / machine learning and present my work on supporting sensemaking of complex relationships. As a concrete example of involving human in the loop for data analytics, I will go through my work of visual analytics with biclusters. I will discuss the concept and design space of biclusters and present several visualization designs of interactive biclusters. I will also briefly present a few of my other on-going projects and discuss my future research plans. _________________________________ Michael E. Papka Deputy Associate Laboratory Director - Computing, Environment and Life Sciences Director - Argonne Leadership Computing Facility papka(a)anl.gov<mailto:[email protected]> Professor of Computer Science Northern Illinois University papka(a)niu.edu<mailto:[email protected]> -- Computing mailing list Computing(a)anl.gov https://lists.cels.anl.gov/mailman/listinfo/computing

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REMINDER: Argonne Computing Coffee Hour Today in the Viz Lab from 2:00-3:00
by Werner, Janet M. 06 Nov '19

06 Nov '19

Hello, The weekly Argonne Computing Coffee Hours are going well with having presentations each week to facilitate everyone getting to know about each other’s computing activities to enable more collaborations. The coffee hours take place on Wednesdays, 2pm – 3pm in the Viz Lab on the 4th floor, 4312. The speaker for today is Neil Getty. The title of Neil’s talk is “Machine and Deep Learning for TRACK-TBI ”. Janet -- Computing mailing list Computing(a)anl.gov https://lists.cels.anl.gov/mailman/listinfo/computing

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Argonne at SC19 - List of Activities
by Collins, James R. 01 Nov '19

01 Nov '19

Hi all, We are planning to create an Argonne@SC19 webpage that lists all of the lab’s conference activities. We've mined the SC19 website for Argonne participants to create a working list - see Box link below. Argonne staff members are noted in bold. https://anl.box.com/s/krhzaa3jpcnfzrpd2guhuwpy57zi50q6 I’m attaching a Word document with this info as well. Please take a look and email me directly if any of your activities are missing. I’ll need a title, date/time, location, activity type, and URL if available. Thanks, Jim -- Computing mailing list Computing(a)anl.gov https://lists.cels.anl.gov/mailman/listinfo/computing

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