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.
Fourth Workshop on High Performance Computational Finance
SESSION: Fourth Workshop on High Performance Computational Finance
EVENT TYPE: Workshop
TIME: 9:00AM - 5:30PM
Organizer(s):Mikhail Smelyanskiy, Matthew F. Dixon, José E. Moreira, David Daly, Maria Eleftheriou, Kyung Ryu
ROOM:Grand Hyatt Theater
ABSTRACT: The purpose of this workshop is to bring together practitioners, researchers, vendors, and scholars from the complementary fields of computational finance and high performance computing. Financial companies increasingly rely on high performance computers to analyze high volumes of financial data, automatically execute trades, and manage risk. As financial market data volume continues to grow, demand for computational power increases. Recent years have seen the dramatic increase in compute capabilities across variety of parallel systems. The systems have also become more complex with trends towards heterogeneous systems consisting of general-purpose cores and acceleration devices. Therefore, programmers can no longer extract high performance from these platforms without significant programming effort. Domain specific languages (DSLs) resurged as an important tool to simplify parallel programming, while allow programmers to harness the full power of modern parallel processors. DSLs for efficient expression and optimization of financial applications will therefore be the theme for this year’s workshop