Introduction

• Axel Naumann (CERN)

Room: 32/1-A24

Identifying Memory Allocation Patterns

• Nathalie Rauschmayr (CERN)
• Sami Kama (Southern Methodist University (US))
• Sami Kama (Southern Methodist University (US))

Room: 32/1-A24 HEP applications perform large amounts of memory allocations/deallocations within short time intervals, which can result in memory churn, poor locality and performance degradation. These can now be identified and examined with the recently extended FOM-tools, which through stored stack traces, pinpoints source code responsible for short-lived objects and distinctive lifetime patterns. The presentation will show and discuss the most important results that have been obtained from ATLAS jobs.

MALT, a malloc tracker

• Sebastien Valat (CERN)

Room: 32/1-A24 Today, memory become again a precious resource for performance and for the memory consumption. MALT is a malloc profiling tool mapping your memory allocation onto your source code. Hence you can easily search for bad memory usage, memory leaks, large memory consumption and short live memory allocations.