ECSS Symposium

ECSS staff share technical solutions to scientific computing challenges monthly in this open forum.

The ECSS Symposium allows the over 70 ECSS staff members to exchange on a monthly basis information about successful techniques used to address challenging science problems. Tutorials on new technologies may be featured. Two 30-minute, technically-focused talks are presented each month and include a brief question and answer period. This series is open to everyone.

Symposium coordinates

Day and Time: Third Tuesdays @ 1 pm Eastern / 12 pm Central / 10 am Pacific
Add this event to your calendar.

Webinar (PC, Mac, Linux, iOS, Android): Launch Zoom webinar

iPhone one-tap (US Toll): +16468769923,,114343187# (or) +16699006833,,114343187#

Telephone (US Toll): Dial(for higher quality, dial a number based on your current location):

US: +1 646 876 9923 (or) +1 669 900 6833 (or) +1 408 638 0968

Meeting ID: 114 343 187

See the Events page for details of upcoming presentations. Upcoming events are also posted to the Training category of XSEDE News.

Due to the large number of attendees, only the presenters and host broadcast audio. Attendees may submit chat questions to the presenters through a moderator.

Key Points
Monthly technical exchange
ECSS community present
Open to everyone
Tutorials and talks with Q & A
Contact Information

Previous years' ECSS seminars may accessed through these links:





January 10, 2012 Symposium

Presenter: Ben Cotton

[Presentation Slides]

Condor is a distributed batch scheduler specializing in high throughput and resource scavenging. Condor supports running thousands of jobs simultaneously across heterogeneous compute platforms.  This talk will discuss general Condor usage, including job creation and submission. Specifics of Purdue's Condor resource will also be presented. Sample computation types and workflows that best fit the resource will be shown.

Ben Cotton can be reached via this website

Visualization and analysis with Nautilus: From standard tools to unusual challenges
Presenter: Amy Szczepanski

[Presentation Slides]

Nautilus gives researchers great flexibility in visualizing and analyzing their data. One feature that enables these possibilities is Nautilus' 4 TB of global shared memory. In addition to the opportunities for keeping large data sets in memory, this architecture enables other types of analyses that are not well-suited for distributed memory systems. NICS/RDAV has developed an open-source tool, named Eden, that allows researchers to easily and efficiently perform parameter sweeps and other analyses that require independent runs of non-MPI code. We will start with a quick overview of Nautilus, its capabilities, and some of the standard visualization and analysis tools that are available on the system and then talk in more detail about Eden and how researchers have used this tool in their computational work.

Amy Szczepanski can be reached via this website

November 1, 2011 Symposium Talks

Large Synoptic Survey Telescope Data Challenge
Presenter: Darren Adams (NCSA)
PI: Tim Axelrod (University of Arizona)

[View Presentation Slides]

The ECSS team has collaborated with the Large Synoptic Survey Telescope (LSST) project in evaluating the Research and Education Data Depot network (REDDnet) project. LSST researchers are interested in ways to make very large datasets available to researchers in geographically distant locations. The REDDnet project has devised a system of storage "depots" that are geographically distributed.  Using the Logistical Storage (Lstore) system, also developed at Vanderbilt, files can be stored, replicated and striped based on user-defined policies.  Polies can be created to emphasize fault-tolerance, performance, and/or geographic availability.  The ECSS collaboration included integrating the LStore server with the NCSA Mass storage system and the loading of data sets from recent LSST data challenges.  New featuresi ncluding FUSE filesystem interface capabilities may make REDDnet a viable choice for the LSST team.

Archived Webcast:

Darren Adams can be reached via this website


Supporting Distributed and Loosely Coupled Parallel Molecular Simulations using SAGA
Presenters: Yaakoub El Kharma (TACC), Matt McKenzie (NICS)
PI: Ronald Levy (Rutgers)

[View Presentation Slides - no video] [Slide 21 movie] [Slide 24 movie]

This ECSS project is supporting an intense effort to understand important aspects of the physics of protein-ligand recognition by multidimensional replica exchange (RE) computer simulations. These are compute intensive calculations which are currently not well supported on XSEDE because they require both large numbers (10^3-10^4) of loosely coupled replicas and long simulation times (days to weeks). Our effort is focused resolving architectural and scalability issues associated with these large scale/high-throughput simulations. The framework we are using is the SAGA framework (Simple API for Grid Applications) and associated pilot job implementation: BigJob. The technical difficulties involved include job coordination across multiple resources, file and data movement, dynamic coupling of replicas and dynamic scheduling of resources. We will present the progress in implementing workflow managers, system monitors and data exchange mechanisms.

Archived Webcast:

Yaakoub El Kharma can be reached via this website

December 13, 2011 Symposium

XSEDE Data Movement with Globus Online
Presenter: Steve Tuecke, Deputy Director, Computation Institute at University of Chicago and Argonne National Lab (and Globus Online Project Lead)

[View Presentation Slides]

In this session we will present Globus Online, the hosted service that underpins XSEDE's current User Access Services providing secure, reliable file transfer and user authentication. Both XSEDE users and Campus Champions will benefit from attending this session which covers the basics of how to use Globus Online and how to enable resources for file transfer using the service. We will include a brief demo covering use of the GUI and command line interface, as well as our newest tools for setting up a multi-use server faster and more easily than has been possible before. We will also leave time for Q&A so attendees can get their questions answered about how to get started.

[Download Globus Online Presentation]

Steve Tuecke can be reached via this website

ASTA Project: Patient-Specific Modeling of Abdominal Aortic Aneurysms
Presenter: Anirban Jana (PSC)
PRincipal Investigator: Professor Ender Finol (Carnegie MelloN)

[View Presentation Slides]

Cardiovascular diseases are a major cause of fatalities in the world. One kind is an aneurysm, which is a local dilation and resulting weakening of an artery, creating the possibility of rupture and a speedy death. This work is on Abdominal Aortic Aneurysms (AAA), which is a dilation of the abdominal aorta just above the iliac bifurcation and below the renal arteries. AAA rupture is currently the 10th leading cause of death in the US. Computational modeling of AAAs shows promise in the future of making accurate predictions of the rupture risk, and hence proper intervention strategies. Current state of the art is patient specific computational modeling of AAAs based on medical images of patient AAAs, such as those obtained by CT or MRI techniques. This is clearly a complex task. Challenges include proper extraction of the AAA geometry from the medical images, application of proper boundary conditions, appropriate material modeling of the diseased artery, and efficient computational methodologies to correctly capture the fluid-structure interaction between the pulsatile blood flow and the flexible wall, amongst others. In this talk, I'll present some of my contributions in these research areas in collaboration with Prof Ender Finol's group. We have used primarily PSC's Pople and Blacklight for this work, as well as some local machines. The main simulations have been performed using a commercially available multiphysics package called ADINA, while preprocessing (creating the finite element models from medical imaging data) is primarily done using MATLAB codes. Several publications have already resulted from this effort, and many more are in the pipeline.

Anirban Jana can be reached via this website

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