conference-talk

Making Containers Easier with HPC Container Maker

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Craig Tierney
Speaker Description: 
Craig Tierney is a Senior Solution Architect at NVIDIA supporting high performance computing (HPC) and deep learning (DL). His focus includes the architecture of GPU based systems to maximize HPC and DL performance and scalability. Prior to joining NVIDIA, Craig spent over 15 years providing high performance computing architecture and computational science support to NOAA and several other government and educational organizations including DOE, DOD, NASA and Stanford University. Craig holds a Ph.D. in Aerospace Engineering Sciences from the University of Colorado at Boulder.
 

Event Category:

HPC Containers: Challenges and Solutions

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Smahane Douyeb
Speaker Description: 
Smahane Douyeb is currently working as a Software Apps Engineer at Intel. Part of her job is to create and run containers for various HPC platforms for performance analysis and competitive testing purposes. She also works on HPC Python apps optimization on some Intel platforms. On her free time, she like to run, swim, hike and learn new skills.
 
 

Event Category:

Practicalities of Running Weather Models on Amazon Web Services

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
David Hahn
Speaker Description: 
David has been working with Amazon Web Services for the last three years for deploying applications ranging from microservices to HPC.
 

Event Category:

Video recorded: 

Slides available here.

Spin: A Docker-based Platform for Deploying Science Gateways at NERSC

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Cory Snavely

Event Category:

Experience supporting Containers with Shifter at NERSC

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Shane Canon

Motivations for containers at NERSC

Shifter: Goals and Design

Experience supporting containers at NERSC

Event Category:

Containers in HPC, and Beyond

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Andrew Younge
Speaker Description: 
Andrew Younge is a Computer Scientist at Sandia National Laboratories with the Scalable System Software group. His research interests include High Performance Computing, Virtualization, Distributed Systems, and energy efficient computing. The central focal point of Andrew’s work is to improve the usability and efficiency of supercomputing system software. He has a Ph.D in Computer Science from Indiana University, where he was the Persistent Systems fellow and a member of the FutureGrid project, an NSF-funded experimental Cloud testbed. Over the years, Andrew has held visiting positions at the MITRE Corporation, the University of Southern California / Information Sciences Institute, and the University of Maryland, College Park. He received his Bachelors and Masters of Science from the Computer Science Department at Rochester Institute of Technology (RIT) in 2008 and 2010, respectively.
 
 

Event Category:

Sirepo: Containerized HPC Engineering in the Cloud

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Robert Nagler
Speaker Description: 
CTO Rob Nagler has designed and deployed leading-edge distributed systems for over 30 years. Rob has written extensively about software, including his book on agile development methods, Extreme Perl. Rob started his career in the Distributed Systems Group at Stanford working with Dr. David Cheriton. At Sun Microsystems, he worked with Eric Schmidt in the telecommunications group. He led OLAP development at Olsen & Associates, a pioneer in financial research and analysis. At Tandem Computers(tm) High Performance Research Center, Rob implemented a multi-platform, distributed architecture based on CORBA and used for internet traffic routing for mobile phone networks. Rob holds a BS in Computer Engineering from the University of California, San Diego and an MS in Computer Engineering from Stanford University.
 

Event Category:

Video recorded: 

Slides and additional references available here

Architectural Decision for a Supercomputing as a Service Software

Date and Time: 
Wednesday April 10th 2019
Location: 
CG Auditorium
Speaker: 
Michael Riera
Speaker Description: 
Michael Riera received his master degree in Computer Engineering at the University of Central Florida. He currently is pursuing a PhD in Computer Engineering at Arizona State University. His main focus at ASU is on heterogeneous multimode accelerator architectures. He is currently looking into making accelerators and accelerator clusters more accessible.
 
 

Event Category:

The Influence of Model Architecture on Multi-GPU Training of Adversarial Networks

Date and Time: 
Tuesday April 9th 2019
Location: 
CG Auditorium
Speaker: 
Sarvesh Garimella
Speaker Description: 
BS in Planetary Science, Caltech, 2011; BS in Environmental Science and Engineering, Caltech, 2011; MS in Atmospheric Science, MIT, 2014; PhD in Climate Physics and Chemistry, MIT, 2016; Chief Scientist at ACME AtronOmatic 2016-present
 

Event Category:

Pitfalls of applying Machine Learning to Scientific Software

Date and Time: 
Tuesday April 9th 2019
Location: 
CG Auditorium
Speaker: 
Davide Del Vento

In the last decade, Machine Learning has experienced a dramatic increase of performance. This has corresponded to an understandable hype especially for the remarkable results achieved in some cases.

Practitioners of Scientific Disciplines have become interested in utilizing new Machine Learning techniques, and have sometimes started doing so with mixed success.

In this talk I will briefly describe some of the common Traps, Pitfalls and Misconceptions of Machine Learning as relevant to the Scientific Discipline, and especially how to avoid them.

Speaker Description: 
Davide Del Vento is Software Engineer at National Center for Atmospheric Research, where he has worked since 2008 as a High Performance Computing Specialist. In this role, he provides assistance to the UCAR computing community of scientists and programmers on a variety of topics, including optimization and tuning, parallel computing, data analysis and debugging. He contributes to design, development, testing and maintenance of local software packages. Davide also serves as a Software Engineer for the XSEDE Novel and Innovative Projects (NIP) group and for the XSEDE Extended Collaborative Support Services (ECSS) program. In 2018 he was chosen to be XSEDE Campus Champion for NCAR.Moreover, Davide is the Chairman of the Software Engineering Assembly since 2010.Earlier in his career he worked as a member of the control team for the Visible InfraRed Thermal Imaging Spectrometer onboard the Venus Express mission from the European Space Agency. The mission was proposed in 2001, launched in 2005 and operational around the planet Venus from 2006 to 2014.Davide has a MS in Physics from University of Rome Tor Vergata and a Ph.D. in Physics from University of Rome Tre respectively.
 

Event Category:

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