A scalable debugger for massively parallel message-passing programs

Author

Sistare, Steve ; Allen, Don ; Bowker, Rich ; Jourdenais, Karen ; Simons, Josh ; Title, Rich

Author_Institution

Thinking Machines Corp., Cambridge, MA, USA

fYear

1994

fDate

23-25 May 1994

Firstpage

825

Lastpage

832

Abstract

Developers of message-passing codes on massively parallel systems have to contend with difficulties that data-parallel programmers do not face, not the least of which is debuggers that do not scale with the degree of parallelism. In this paper, we present new scalable interaction paradigms and their embodiment in a time- and space-efficient debugger with scalable performance. The debugger offers scalable expression, execution, and interpretation of all debugging operations, making it easier to debug and understand message-passing programs

Keywords

message passing; parallel programming; program debugging; massively parallel message-passing programs; scalable debugger; scalable execution; scalable expression; scalable interaction paradigms; scalable interpretation; scalable performance; space efficiency; time efficiency; Broadcasting; Data visualization; Debugging; Intrusion detection; Law; Performance analysis; Programming environments; Programming profession; Scalability; Yarn;

fLanguage

English

Publisher

ieee

Conference_Titel

Scalable High-Performance Computing Conference, 1994., Proceedings of the

Conference_Location

Knoxville, TN

Print_ISBN

0-8186-5680-8

Type

conf

DOI

10.1109/SHPCC.1994.296726

Filename

296726