ISC'13

June 16-20, 2013

Leipzig, Germany

Session Details

 
Name: Tutorial 01
Performance Analysis & Optimization on Extreme-Scale Systems
 
Time: Sunday, June 16, 2013
9:00 AM - 1:00 PM
 
Room:   Seminar Room 6/7 (SR 6/7)
CCL - Congress Center Leipzig
 
Breaks:11:00 AM - 11:30 AM Coffee Break
1:00 PM - 2:00 PM Lunch
 
Presenter(s):   Bernd Mohr, JSC
  Martin Schulz, LLNL
  Brian Wylie, JSC
 
Abstract:   The number of processor cores available in high-performance computing systems is steadily increasing. In the November 2012 list of the TOP500 supercomputers, only a single system has less than 3,000 processor cores and the average is almost 30,000 cores, which is an increase of over 60% in just one year. While these machines promise ever more compute power and memory capacity to tackle today's complex simulation problems, they force application developers to greatly enhance the scalability of their codes to be able to exploit it. To better support them in their porting and tuning process, many parallel tools research groups have already started to work on scaling their methods, techniques and tools to extreme processor counts. In this tutorial, we survey existing performance analysis and optimization tool covering both profiling and tracing techniques, demonstrate selected tools, report on our experience in using them in extreme scaling environments, review existing working and promising new methods and techniques, and discuss strategies for addressing unsolved issues and problems.

Content Level
25% Introductory, 50% Intermediate, 25% Advanced

Target Audience
HPC users that would like to understand the basic issues of applying tools in extreme scale environments and are interested in learning practical hints and tips on how to use current research and vendor tools. In addition, it is also addressed to students and researchers interested in learning more about the field of parallel performance tools.

Prerequisites
Basic understanding of parallel computing and its de-facto programming standards MPI and OpenMP. Knowledge of a programming language such as Fortran or C/C++ is helpful.
 
 
Program may be subject to changes.