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

REMINDER: Speaker/Lecture Announcement: Lightweight Requirements Engineering for Exascale Co-design - 8 Mar. RM: #4301
by White, Monica Orozco 08 Mar '19

08 Mar '19

Argonne Leadership Computing Facility 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 Join Via Blue Jeans: https://bluejeans.com/103893477 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. Bio: https://www.informatik.tu-darmstadt.de/parallel/parallel_programming/team_4… [schedule.ics<http://www.cels.anl.gov/events/event.ics?id=3136>]

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TODAY: Surprise Pacesetter Award...
by Lutes, Darlyn 07 Mar '19

07 Mar '19

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

06 Mar '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 David Martin. David will be talking about how ALCF is working with Industry and their partnership program. Janet

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Deep Learning for Science Workshop @ ISC'19
by Foster, Ian T. 05 Mar '19

05 Mar '19

Dear all: I encourage you to submit papers to this ISC workshop on Deep Learning for Science. Due date is May 1st. Regards — Ian Deep Learning for Science: A Workshop at ISC’19 The Deep Learning for Science workshop will be held with ISC'19 on June 20th, 2019 in Frankfurt, Germany. It is the second workshop in the Deep Learning on Supercomputers series. The workshop provides a forum for practitioners working on any and all aspects of DL for scientific research in the High Performance Computing (HPC) context to present their latest research results and development, deployment, and application experiences. The general theme of this workshop series is the intersection of DL and HPC, while the theme of this particular workshop is centered around the applications of deep learning methods in scientific research: novel uses of deep learning methods, e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial network (GAN), and reinforcement learning (RL), for both natural and social science research, and innovative applications of deep learning in traditional numerical simulation. Its scope encompasses application development in scientific scenarios using HPC platforms; DL methods applied to numerical simulation; fundamental algorithms, enhanced procedures, and software development methods to enable scalable training and inference; hardware changes with impact on future supercomputer design; and machine deployment, performance evaluation, and reproducibility practices for DL applications with an emphasis on scientific usage. Topics include but are not limited to: * Emerging scientific applications driven by DL methods * Novel interactions between DL and traditional numerical simulation * Effectiveness and limitations of DL methods in scientific research * Algorithms and procedures to enhance reproducibility of scientific DL applications * Data management through the life cycle of scientific DL applications * General algorithms and procedures for efficient and scalable DL training * General algorithms and systems for large scale model serving for scientific use cases * New software, and enhancements to existing software, for scalable DL * DL communication optimization at scale * I/O optimization for DL at scale * Hardware (processors, accelerators, memory hierarchy, interconnect) changes with impact on deep learning in the HPC context * DL performance evaluation and analysis on deployed systems * DL performance modeling and tuning of DL on supercomputers * DL benchmarks on supercomputers As part of the reproducibility initiative, the workshop requires authors to provide information such as the algorithms, software releases, datasets, and hardware configurations used. For performance evaluation studies, we will encourage authors to use well-known benchmarks or applications with open accessible datasets: for example, MLPerf<https://github.com/mlperf/training> and ResNet-50 with the ImageNet-1K dataset<http://www.image-net.org/archive/stanford/fall11_whole.tar>. Important Dates * Papers due: May 1st, 2019 * Acceptance notification: May 16th, 2019 * Camera ready: June 1st, 2019 * Workshop date: June 20th, 2019 Paper Submission Authors are invited to submit unpublished, original work, with a minimum of 6 pages and a maximum of 12 pages in single column text with LNCS style. All submissions should be in LNCS format<http://www.springer.com/de/it-informatik/lncs/conference-proceedings-guidel…> (http://www.springer.com/de/it-informatik/lncs/conference-proceedings-guidel…) and submitted using easychair<https://easychair.org/conferences/?conf=dls2019> (https://easychair.org/conferences/?conf=dls2019)

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