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.
Performance Analysis and Fitness of GPGPU and Multicore Architectures for Scientific Applications
SESSION: Doctoral Research Showcase (1 of 2)
EVENT TYPE: Doctoral Research Showcase
TIME: 2:00PM - 2:15PM
SESSION CHAIR: Volodymyr Kindratenko
ABSTRACT: Recent trends involving multicore processors, Graphical Processing Units (GPU) focus on exploiting task- and thread-level parallelism. In this research, we analyze various aspects of performances of these leading architectures including NVIDIA and AMD/ATI Graphical Processing Units, multicore processors such as Intel multicore, AMD multicore, IBM’s Cell Broadband Engine, and SUN’s T2+ UltraSPARC. A maximum of 32-core multicore (Intel and AMD) and 1600-core AMD GPGPU were utilized in this research. The case study used in this thesis is a biological Spiking Neural Network (SNN), implemented with the Izhikevich, Wilson, Morris-Lecar, and Hodgkin-Huxley neuron models. We report and analyze the variations of performance with network scaling, available optimization techniques and execution configuration. Based on the performance analysis of various architectures, a Fitness performance model is proposed and verified with the SNN implementation results. The Fitness performance model predicts the suitability of architecture for accelerating an application.