CERN Accelerating science

Talk
Title	Advanced Modular Software Performance Monitoring
Video	Loading If you experience any problem watching the video, click the download button below Download Embed Mp4: High (600 kbps) Windows Media: Medium (480 kbps) Flash: High (753 kbps) High-resolution: MPG (1.7 GB) Copy-paste this code into your page: <iframe width="640" height="360" frameborder="0" src="https://cds.cern.ch/video/1460666?showTitle=true" allowfullscreen></iframe>
Author(s)	Mazurov, Alexander (speaker) (Universita di Ferrara (IT))
Corporate author(s)	CERN. Geneva
Imprint	2012-05-22. - Streaming video, 00:21:44:00.
Series	(Conferences) (Computing in High Energy and Nuclear Physics (CHEP) 2012)
Lecture note	on 2012-05-22T14:45:00
Subject category	Conferences
Abstract	The LHCb software is based on the Gaudi framework, on top of which are built several large and complex software applications. The LHCb experiment is now in the active phase of collecting and analyzing data and significant performance problems arise in the Gaudi based software beginning from High Level Trigger (HLT) programs and ending with data analysis frameworks (DaVinci). It’s not easy to find hot spots in the code - only special tools can help to understand where CPU or memory usage is not reasonable. There exist many performance analyzing tools, but the main problem is that they show reports in terms of class and function names and such information usually is not very useful - the majority of algorithm developers use the Gaudi framework abstractions and usually do not know about functions which lie at the lower level. We will show a new approach which adds to performance reports a higher abstraction level based on knowledge of framework architecture and run-time object properties. A set of profiling tools (based on sampling and unwind library - a software for introspection of the program call-chain) and visualizing interfaces has been developed and deployed.
Copyright/License	© 2012-2024 CERN
Submitted by	jd@bnl.gov