BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121112T153000Z
DTEND:20121112T190000Z
LOCATION:251-E
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The number of processor cores available in high-performance computing systems is steadily increasing. In the June 2012 list of the TOP500 supercomputers, only ten systems have less than 4,096 processor cores and the average is almost 27,000 cores, which is an increase of 9,000 in just one half year. Even the median system size is already over 13,000 cores. 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=0Ascalability 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.
SUMMARY:Supporting Performance Analysis and Optimization on Extreme-Scale Computer Systems
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121112T153000Z
DTEND:20121112T190000Z
LOCATION:251-E
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The number of processor cores available in high-performance computing systems is steadily increasing. In the June 2012 list of the TOP500 supercomputers, only ten systems have less than 4,096 processor cores and the average is almost 27,000 cores, which is an increase of 9,000 in just one half year. Even the median system size is already over 13,000 cores. 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=0Ascalability 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.
SUMMARY:Supporting Performance Analysis and Optimization on Extreme-Scale Computer Systems
PRIORITY:3
END:VEVENT
END:VCALENDAR