SC is the International Conference for
High Performance Computing, Networking,
Storage and Analysis

SCHEDULE: NOV 12-18, 2011

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.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

Hardware, Software Co-design for Energy Efficient Seismic Modeling

SESSION: Applications


TIME: 4:00PM - 4:30PM

AUTHOR(S):Jens Krueger, David Donofrio, John Shalf, Samuel Williams, Leonid Oliker, Marghoob Mohiyuddin, Franz-Josef Pfreundt


Reverse Time Migration (RTM) has become the standard for high-quality imaging in the seismic industry. RTM relies on PDE solutions using stencils that are 8th order or larger, which require large-scale HPC clusters to meet the computational demands. However, the rising power consumption of conventional cluster technology has prompted investigation of architectural alternatives that offer higher computational efficiency. In this work, we compare the performance and energy efficiency of three architectural alternatives -- the Intel Nehalem X5530 multicore processor, the NVIDIA Tesla C2050 GPU, and a manycore chip design called "Green Wave." We have developed an FPGA-accelerated architectural simulation platform to accurately model the power and performance of the Green Wave design. Results show that across highly tuned higher order RTM stencils, co-designed Green Wave implementation can offer up to 3.5x and 10x node power efficiency improvement compared with the GPU and Nehalem platforms.

Chair/Author Details:

Jens Krueger - Fraunhofer ITWM

David Donofrio - Lawrence Berkeley National Laboratory

John Shalf - Lawrence Berkeley National Laboratory

Samuel Williams - Lawrence Berkeley National Laboratory

Leonid Oliker - Lawrence Berkeley National Laboratory

Marghoob Mohiyuddin - UC Berkeley

Franz-Josef Pfreundt - Fraunhofer ITWM

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

The full paper can be found in the ACM Digital Library

   Sponsors    ACM    IEEE