EconPapers    
Economics at your fingertips  
 

Debugging at Scale with Allinea DDT

David Lecomber and Patrick Wohlschlegel ()
Additional contact information
David Lecomber: Warwick Technology Park, The Innovation Centre, Allinea Software Ltd
Patrick Wohlschlegel: Warwick Technology Park, The Innovation Centre, Allinea Software Ltd

A chapter in Tools for High Performance Computing 2012, 2013, pp 3-12 from Springer

Abstract: Abstract As core counts in HPC clusters grow, almost every application user is trying to run software at higher scale than before. It is not always an easy task and can end in failure as the limitations of existing software are discovered. Users and developers quickly find new (and old) bugs as scale increases: software can be complex when it seeks to use more threads or processes to exploit the hardware. In this document, we show how using a debugger at the scale of the bug is the most effective way to tackle parallel software problems today. We introduce Allinea DDT – the world’s only scalable parallel debugger – and show how it is fast, capable, and lets you debug your parallel or multithreaded application, no matter how big or small a system you use, easily. Allinea DDT has been setting standards for usability for many years and has torn up scalability records. It is used on the world’s largest systems – debugging over 220,000 processes simultaneously in some cases. Bugs can be fixed easily for all developers – not just those with extreme scale – by using Allinea DDT at your scale.

Keywords: High Scale; Software Problem; Leak Detection; Print Statement; Core File (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37349-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9783642373497

DOI: 10.1007/978-3-642-37349-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-642-37349-7_1