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.
M11: Productive Programming in Chapel: A Next-Generation Parallel Language
SESSION: M11: Productive Programming in Chapel: A Next-Generation Parallel Language
EVENT TYPE: Tutorial
TIME: 8:30AM - 5:00PM
Presenter(s):Bradford Chamberlain, Sung-Eun Choi, Tom Hildebrandt, Greg Titus
ABSTRACT: Chapel is a new parallel language being developed by Cray Inc. to improve the productivity of parallel programmers on large-scale supercomputers, commodity clusters, and multicore workstations. Chapel aims to vastly improve programmability over current parallel programming models while supporting performance and portability at least as good as today’s technologies. Though being developed by Cray, Chapel is portable, open-source software that supports a wide spectrum of platforms including desktops (Mac, Linux, and Windows), UNIX-based commodity clusters, and custom systems by Cray, IBM, and SGI. This tutorial will provide an in-depth introduction to Chapel, from context and motivation to a detailed description of Chapel concepts via lecture and sample computations. A pair of hands-on segments will let participants write, compile, and execute parallel Chapel programs, either using their own machine or accounts we’ll provide. We’ll conclude by giving an overview of ongoing Chapel activities and collaborations, and by soliciting participants for their feedback to help improve Chapel’s applicability to their parallel computing needs.