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.
M15: How to Analyze the Performance of Parallel Codes 101
SESSION: M15: How to Analyze the Performance of Parallel Codes 101
EVENT TYPE: Tutorial
TIME: 1:30PM - 5:00PM
Presenter(s):Martin Schulz, Jim Galarowicz, Matthew Legendre, David Montoya, Donald Maghrak, Mahesh Rajan
ABSTRACT: Performance analysis is an essential step in the development of HPC codes. It will even gain in importance with the rising complexity of machines and applications that we are seeing today. Many tools exist to help with this analysis, but the user is too often left alone with interpreting the results.
In this tutorial we will provide a practical road map for the performance analysis of HPC codes and will provide users step by step advice on how to approach the optimization of their codes as well as on how to investigate observed performance bottlenecks in detail. We will cover both on-node performance and communication optimization. Throughout this tutorial will show live demos using Open|SpeedShop, a comprehensive and easy to use performance analysis tool set, to demonstrate the individual analysis steps. All techniques will, however, apply broadly to any tool and we will point out alternative tools where useful.
Martin Schulz - Lawrence Livermore National Laboratory
Jim Galarowicz - Krell Institute
Matthew Legendre - Lawrence Livermore National Laboratory