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SCHEDULE: NOV 16-21, 2014
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
VPA: First Workshop on Visual Performance Analysis
SESSION: VPA: First Workshop on Visual Performance Analysis
EVENT TYPE: Workshops
TIME: 8:30AM - 12:00PM
Organizer(s):Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz
ROOM:298-99
ABSTRACT:
Over the last decades incredible resources have been devoted to building ever more powerful supercomputers. However, exploiting the full capabilities of these machines is becoming exponentially more difficult with each generation of hardware. To help understand and optimize the behavior of massively parallel simulations the performance analysis community has created a wide range of tools to collect performance data, such as flop counts or network traffic at the largest scale. However, this success has created new challenges, as the resulting data is too large and too complex to be analyzed easily. Therefore, new automatic analysis and visualization approaches must be developed to allow application developers to intuitively understand the multiple, interdependent effects that their algorithmic choices have on the final performance. This workshop intends to bring together researchers from performance analysis and visualization to discuss new approaches of combining both areas to analyze and optimize large-scale applications. http://cedmav.org/vpa2014
Chair/Organizer Details:
Peer-Timo Bremer - Lawrence Livermore National Laboratory
Bernd Mohr - Juelich Supercomputing Center
Valerio Pascucci - University of Utah
Martin Schulz - Lawrence Livermore National Laboratory
Click here to download .ics calendar file
