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

REMINDER: Argonne Computing Coffee Hour Today in the Viz Lab from 2:00-3:00
by Werner, Janet M. 20 Feb '19

20 Feb '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. If you have not given a talk or scheduled to give a future talk, we invite you to identify some dates that work for you to give a 5-minute presentation about your current and future activities via the following doodle polls for dates 1/2/2019 – 6/26/2019: https://doodle.com/poll/m44krh7u5d9hpu4i The speakers for today are Janet Jaseckas and JaeHyuk Kwack. The title of Janet’s talk is “Tidying Up Userbase - Does your User Management System Spark Joy?” and JaeHyuk’s is “Performance Characteristics of a High-Order Finite Element Applications on a HPC System.” Janet

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Surprise Pacesetter Award...
by Lutes, Darlyn 19 Feb '19

19 Feb '19

🏆Surprise Pacesetter Award🏆 ~~~~~~~~~~~~~~~~~~~~~ Please join us for cake and coffee to honor three of our colleagues from the Data Science and Learning Division. Date: Thursday, March 7, 2019 Time: 3:30 pm Location: TCS Conference Center, Room 1406/1407 Thank you, Darlyn Lutes Executive Assistant, DSL Ph: 630.252.4220

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Speaker/Lecture Announcement: Lightweight Requirements Engineering for Exascale Co-design
by White, Monica Orozco 18 Feb '19

18 Feb '19

Argonne Leadership Computing Facility – Guest Speaker/Lecture Speaker: Felix Wolf, Full Professor, Dept. of Computer Science, Technische Universität Darmstadt, Germany Host: Scott Parker Date: March 8, 2019 Time: 10:30 AM - 11:30 AM Location: Argonne National Laboratory, Bldg. 240, Rm.#4301 Lightweight Requirements Engineering for Exascale Co-design Given the tremendous cost of an exascale system, its architecture must match the requirements of the applications it is supposed to run as precisely as possible. Conversely, applications must be designed such that building an appropriate system becomes feasible, motivating the idea of co-design. In this process, a fundamental aspect of the application requirements are the rates at which the demands for different resources grow as a code is scaled to a larger machine. However, if the anticipated scale exceeds the size of available platforms this demand ca n no longer be measured. This is clearly the case when designing an exascale system. Moreover, creating analytical models to predict these requirements is often too laborious—especially when the number and complexity of target applications is high. In this paper, we show how automated performance modeling can be used to quickly predict application requirements for varying scales and problem sizes. [schedule.ics<http://www.cels.anl.gov/events/event.ics?id=3136>]

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Black Creativity Career Showcase
by Booker, Liza L. 14 Feb '19

14 Feb '19

Join me at the Argonne booth for the Black Creativity Showcase. You get free breakfast and can bring your family/friends for free entry to the museum. Please review the event details below and let me know if you’re interested. Participate in MSI’s Black Creativity Career Showcase! Saturday, February 23, 2019 9:30 a.m. to 1:30 p.m. Museum of Science and Industry, Chicago 5700 S Lake Shore Drive, Chicago, IL 60637 (773) 947-3152 | http://msichicago.org In celebration of Black Creativity, MSI is looking for African American artists, scientists and engineers to talk with the public at a hands-on career station during the Black Creativity Career Showcase. This is an opportunity to share your expertise and inspire future innovators! Career stations invite youth and families to discover: * What’s innovative about your work or field * Your personal journey into a science, engineering or art-based career * The connection your work has to the real world and everyday life Your station should include a short, interactive activity or demonstration related to your work and content area. We encourage you to bring props, gear or uniforms, handouts, and even small giveaway items that complement your career field. You also may want to bring your company or organization’s tablecloth, banner or sign. No selling or solicitation is permitted. Complimentary Museum Entry, garage parking, breakfast and water/coffee/tea will be provided for the day. MSI will provide an 8-foot table, black table linen, three chairs, wireless internet and access to electricity (if needed) for all stations. Load-in and breakfast will begin at 8:00a.m. Thanks, Liza ---- Liza Booker ALCF User Experience lbooker(a)anl.gov<mailto:[email protected]>

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FYI: SC19 Call for Papers
by Bair, Raymond A. 13 Feb '19

13 Feb '19

From: <mcs-friends-bounces(a)lists.anl.gov> on behalf of "Balaji, Pavan via mcs-friends" <mcs-friends(a)lists.anl.gov> Reply-To: Pavan Balaji <balaji(a)anl.gov> Date: Wednesday, February 13, 2019 at 12:44 PM To: "computing(a)anl.gov" <computing(a)anl.gov> Subject: Fwd: SC19 Call for Papers Folks, SC19 deadline is 4/10 (see the full announcement below). Important things to note: 1. PC members can submit any number of papers. There's no limit on submissions. 2. Single node papers are fine to submit. There's no special requirement for multi-node papers. It needs to be related to HPC, though, obviously. As you all already know, SC is one of the top conferences in our field and is highly valued at Argonne. Please forward this note to your students/postdocs as well, who might not be on this mailing list. -- Pavan Begin forwarded message: SC19: The International Conference for High Performance Computing, Networking, Storage, and Analysis November 17-22, 2019, Denver, Colorado, USA https://sc19.supercomputing.org/submit/paper-submissions/ March 1, 2019 - Submissions open April 2, 2019 - Deadline for abstracts April 10, 2019 - Full paper deadline (firm deadline, no extensions) The SC Papers program is the leading venue for presenting high-quality original research, groundbreaking ideas, and compelling insights on future trends in high performance computing, networking, storage, and analysis. Technical papers are peer-reviewed and an Artifact Description (to aid in reproducibility) is now mandatory for all papers submitted to SC19. Submissions will be considered on any topic related to high performance computing within the ten tracks below. A new track on machine learning and HPC has been added this year. Algorithms: The development, evaluation and optimization of scalable, general-purpose, high performance algorithms. Applications: The development and enhancement of algorithms, parallel implementations, models, software and problem-solving environments for specific applications that require high performance resources. Architecture and Networks: All aspects of high-performance hardware including the optimization and evaluation of processors and networks. Clouds and Distributed Computing: All software aspects of clouds and distributed computing that are related to HPC systems, including software architecture, configuration, optimization and evaluation. Data Analytics, Visualization, and Storage: All aspects of data analytics, visualization, storage, and storage I/O related to HPC systems. Submissions on work done at scale are highly favored. Machine Learning and HPC: The development and enhancement of algorithms, systems, and software for scalable machine learning utilizing high-performance and cloud computing platforms. Performance Measurement, Modeling, and Tools: Novel methods and tools for measuring, evaluating, and/or analyzing performance for large scale systems. Programming Systems: Technologies that support parallel programming for large-scale systems as well as smaller-scale components that will plausibly serve as building blocks for next-generation HPC architectures. State of the Practice: All R&D aspects of the pragmatic practices of HPC, including operational IT infrastructure, services, facilities, large-scale application executions and benchmarks. System Software: Operating system (OS), runtime system and other low-level software research & development that enables allocation and management of hardware resources for HPC applications and services. Technical Program Chairs Chair: Pavan Balaji, Argonne National Laboratory Deputy Chair: Irene Qualters, Los Alamos National Laboratory Vice Chair: Antonio J. Pena, Barcelona Supercomputing Center (BSC), Polytechnic University of Catalonia Technical Papers Chairs Scott Pakin, Los Alamos National Laboratory Michelle Mills Strout, University of Arizona, Computer Science Track Chairs Algorithms X. Sherry Li, Lawrence Berkeley National Laboratory Hatem Ltaief, King Abdullah University of Science and Technology Applications Michael Bader, Technical University of Munich Suzanne Shontz, University of Kansas Architectures & Networks Jonathan Beard, ARM Ltd Brian Towles, D.E. Shaw Research Clouds & Distributed Computing Ilkay Altintas, San Diego Supercomputer Center, UC San Diego; Halicioglu Data Science Institute, UC San Diego Gabriel Antoniu, French Institute for Research in Computer Science and Automation (INRIA) Data Analytics, Visualization & Storage John Bent, DataDirect Networks Suzanne McIntosh, New York University, Courant Institute of Mathematical Sciences Machine Learning and HPC Maryam Mehri Dehnavi, University of Toronto Robert Patton, Oak Ridge National Laboratory Performance Lauren L. Smith, National Security Agency Nathan Tallent, Pacific Northwest National Laboratory Programming Systems Sriram Krishnamoorthy, Pacific Northwest National Laboratory Xipeng Shen, North Carolina State University State of the Practice Sadaf R. Alam, Swiss National Supercomputing Centre Wu Feng, Virginia Tech System Software Patrick Bridges, University of New Mexico Dilma Da Silva, Texas A&M University Full committee at https://sc19.supercomputing.org/planning-committee/#Technical%20Program

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Fwd: SC19 Call for Papers
by Balaji, Pavan 13 Feb '19

13 Feb '19

Folks, SC19 deadline is 4/10 (see the full announcement below). Important things to note: 1. PC members can submit any number of papers. There's no limit on submissions. 2. Single node papers are fine to submit. There's no special requirement for multi-node papers. It needs to be related to HPC, though, obviously. As you all already know, SC is one of the top conferences in our field and is highly valued at Argonne. Please forward this note to your students/postdocs as well, who might not be on this mailing list. -- Pavan Begin forwarded message: SC19: The International Conference for High Performance Computing, Networking, Storage, and Analysis November 17-22, 2019, Denver, Colorado, USA https://sc19.supercomputing.org/submit/paper-submissions/ March 1, 2019 - Submissions open April 2, 2019 - Deadline for abstracts April 10, 2019 - Full paper deadline (firm deadline, no extensions) The SC Papers program is the leading venue for presenting high-quality original research, groundbreaking ideas, and compelling insights on future trends in high performance computing, networking, storage, and analysis. Technical papers are peer-reviewed and an Artifact Description (to aid in reproducibility) is now mandatory for all papers submitted to SC19. Submissions will be considered on any topic related to high performance computing within the ten tracks below. A new track on machine learning and HPC has been added this year. Algorithms: The development, evaluation and optimization of scalable, general-purpose, high performance algorithms. Applications: The development and enhancement of algorithms, parallel implementations, models, software and problem-solving environments for specific applications that require high performance resources. Architecture and Networks: All aspects of high-performance hardware including the optimization and evaluation of processors and networks. Clouds and Distributed Computing: All software aspects of clouds and distributed computing that are related to HPC systems, including software architecture, configuration, optimization and evaluation. Data Analytics, Visualization, and Storage: All aspects of data analytics, visualization, storage, and storage I/O related to HPC systems. Submissions on work done at scale are highly favored. Machine Learning and HPC: The development and enhancement of algorithms, systems, and software for scalable machine learning utilizing high-performance and cloud computing platforms. Performance Measurement, Modeling, and Tools: Novel methods and tools for measuring, evaluating, and/or analyzing performance for large scale systems. Programming Systems: Technologies that support parallel programming for large-scale systems as well as smaller-scale components that will plausibly serve as building blocks for next-generation HPC architectures. State of the Practice: All R&D aspects of the pragmatic practices of HPC, including operational IT infrastructure, services, facilities, large-scale application executions and benchmarks. System Software: Operating system (OS), runtime system and other low-level software research & development that enables allocation and management of hardware resources for HPC applications and services. Technical Program Chairs Chair: Pavan Balaji, Argonne National Laboratory Deputy Chair: Irene Qualters, Los Alamos National Laboratory Vice Chair: Antonio J. Pena, Barcelona Supercomputing Center (BSC), Polytechnic University of Catalonia Technical Papers Chairs Scott Pakin, Los Alamos National Laboratory Michelle Mills Strout, University of Arizona, Computer Science Track Chairs Algorithms X. Sherry Li, Lawrence Berkeley National Laboratory Hatem Ltaief, King Abdullah University of Science and Technology Applications Michael Bader, Technical University of Munich Suzanne Shontz, University of Kansas Architectures & Networks Jonathan Beard, ARM Ltd Brian Towles, D.E. Shaw Research Clouds & Distributed Computing Ilkay Altintas, San Diego Supercomputer Center, UC San Diego; Halicioglu Data Science Institute, UC San Diego Gabriel Antoniu, French Institute for Research in Computer Science and Automation (INRIA) Data Analytics, Visualization & Storage John Bent, DataDirect Networks Suzanne McIntosh, New York University, Courant Institute of Mathematical Sciences Machine Learning and HPC Maryam Mehri Dehnavi, University of Toronto Robert Patton, Oak Ridge National Laboratory Performance Lauren L. Smith, National Security Agency Nathan Tallent, Pacific Northwest National Laboratory Programming Systems Sriram Krishnamoorthy, Pacific Northwest National Laboratory Xipeng Shen, North Carolina State University State of the Practice Sadaf R. Alam, Swiss National Supercomputing Centre Wu Feng, Virginia Tech System Software Patrick Bridges, University of New Mexico Dilma Da Silva, Texas A&M University Full committee at https://sc19.supercomputing.org/planning-committee/#Technical%20Program

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

13 Feb '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. If you have not given a talk or scheduled to give a future talk, we invite you to identify some dates that work for you to give a 5-minute presentation about your current and future activities via the following doodle polls for dates 1/2/2019 – 6/26/2019: https://doodle.com/poll/m44krh7u5d9hpu4i The speaker for today is Rajesh Sankaran. The title of Rajesh’s talk is “When sensors asked a computer for a date out of the big city and beyond”. Janet

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Arm Deep Dive Registration Deadline is Today
by Ghadar, Yasaman 11 Feb '19

11 Feb '19

Hello, 1. If you have not done so and are interested please register at the link below. https://arm-programming-deep-dive.eventbrite.com<https://arm-programming-deep-dive.eventbrite.com/> 1. John Linford is available to meet on Thursday Feb. 14th. Please let us know if you would like to meet with him. Thank you, -Yasaman From: "Ghadar, Yasaman" <ghadar(a)anl.gov> Date: Wednesday, February 6, 2019 at 3:46 PM To: "computing(a)anl.gov" <computing(a)anl.gov> Cc: "Loy, Raymond M." <rloy(a)alcf.anl.gov>, "Ghadar, Yasaman" <ghadar(a)anl.gov>, "Kumaran, Kalyan" <kumaran(a)anl.gov> Subject: Arm Deep Dive John Linford from ARM will be presenting a deep dive on the Arm TX2 and Arm Programming Environment. When: Fri 2/15 Where: TCS 1416 This is on a first-come first-served basis as seats are limited. Please use the following link to register by Monday 2/11. https://arm-programming-deep-dive.eventbrite.com<https://arm-programming-deep-dive.eventbrite.com/> If you have any questions, please do not hesitate to ask. Thank you, Ray and Yasi ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The current agenda (subject to change) Morning 9:00-9:30 Introduction to Thunder X2 9:30-10:30 Porting to Arm: Intro to Arm tools, resources, known issues, Arm vs x86 (MPI mapping/layout and OpenMP affinity) 10:30-10:45 BREAK 10:45 -11:45 Benchmarking and performance analysis: tools, methodologies, tips and tricks (DDT and Math) 11:45-1:00 Lunch on your own Afternoon 1:00-1:30 Vectorization: ACLE, ArmIE, SVE, tools roadmap 1:30-2:30 Walkthrough benchmark with Arm tools / hands-on with canned example. 2:30-3:00 Overview of Machine Learning on Arm Architecture 3:00-5:00 Hands-On with user codes.

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Individual meetings
by Habib, Salman 10 Feb '19

10 Feb '19

Hi Everyone, As you probably know, my schedule is a bit messy during the transition period. Starting from Feb 13, I hope to follow the schedule below: Monday AM – HEP Monday PM – CPS Tuesday AM – CPS Tuesday PM – HEP Wednesday AM – HEP Wednesday PM – CPS Thursday AM- CPS Thursday PM – Go where needed Friday AM – CPS Friday PM – HEP That said, undoubtedly there will be some element of chaos until the end of this month. Nevertheless, I would like to start setting up individual meetings with all the CPS staff members ASAP. Please send times that are generically good for you to Samantha Tezak (stezak(a)anl.gov<mailto:[email protected]>, cc'd) and we'll start setting up meetings (Samantha has the best knowledge of my schedule, such as it is). Now, I know some of you personally already, but many of you I do not. So, if you suspect I have no idea what you work on, this is what you do: Suggest one grad level textbook, one recent review article, and one or two recent papers that you think are a breakthrough in your field (or very interesting anyway) and I'll do my homework before we meet (send this info along to Samantha as well). All the Best Salman ********************************************************************** Salman Habib Division Director, Computational Science Division Deputy Division Director (Interim), High Energy Physics Division Argonne National Laboratory Kavli Institute for Cosmological Physics, University of Chicago Northwestern Argonne Institute of Science and Engineering, Argonne National Laboratory/Northwestern University Email: habib(a)anl.gov<mailto:[email protected]> **********************************************************************

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Arm Deep Dive
by Ghadar, Yasaman 06 Feb '19

06 Feb '19

John Linford from ARM will be presenting a deep dive on the Arm TX2 and Arm Programming Environment. When: Fri 2/15 Where: TCS 1416 This is on a first-come first-served basis as seats are limited. Please use the following link to register by Monday 2/11. https://arm-programming-deep-dive.eventbrite.com<https://arm-programming-deep-dive.eventbrite.com/> If you have any questions, please do not hesitate to ask. Thank you, Ray and Yasi ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The current agenda (subject to change) Morning 9:00-9:30 Introduction to Thunder X2 9:30-10:30 Porting to Arm: Intro to Arm tools, resources, known issues, Arm vs x86 (MPI mapping/layout and OpenMP affinity) 10:30-10:45 BREAK 10:45 -11:45 Benchmarking and performance analysis: tools, methodologies, tips and tricks (DDT and Math) 11:45-1:00 Lunch on your own Afternoon 1:00-1:30 Vectorization: ACLE, ArmIE, SVE, tools roadmap 1:30-2:30 Walkthrough benchmark with Arm tools / hands-on with canned example. 2:30-3:00 Overview of Machine Learning on Arm Architecture 3:00-5:00 Hands-On with user codes.

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