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.

GROPHECY: GPU Performance Projection from CPU Code Skeletons

SESSION: GPU Optimizations

EVENT TYPE: Paper

TIME: 11:30AM - 12:00PM

AUTHOR(S):Jiayuan Meng, Vitali Morozov, Kalyan Kumaran, Venkatram Vishwanath, Thomas Uram

ROOM:TCC 303

ABSTRACT:
We propose a GPU projection framework that can estimate the performance benefit of GPU acceleration without actual GPU programming or hardware. Users only need to skeletonize pieces of CPU code that are targets for GPU acceleration. The framework will then transform the code skeleton in various ways to mimic tuned GPU code with characteristics resembling real implementations. The synthesized characteristics are used by an existing analytical model to project GPU performance. The cost and benefit of GPU development can then be estimated according to the transformed code skeleton that yields the best projected performance. With this framework, users can leap towards GPU acceleration only when the cost-benefit makes sense. We validate the framework using micro-benchmarks as well as data-parallel codes in legacy high performance computing applications. The measured performance of manually tuned codes deviates from the projected performance by 17% in geometric mean.

Chair/Author Details:

Jiayuan Meng - Argonne National Laboratory

Vitali Morozov - Argonne National Laboratory

Kalyan Kumaran - Argonne National Laboratory

Venkatram Vishwanath - Argonne National Laboratory

Thomas Uram - Argonne National Laboratory

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