Method of visualizing results of performance monitoring and analysis in a parallel computing system

Patent 5903730 Issued on May 11, 1999. Estimated Expiration Date:

February 14, 2017. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Abstract Claims Description Full Text

Patent References

Three dimensional presentation of multiple data sets in unitary format with pie charts
Patent #: 5491779
Issued on: 02/13/1996
Inventor: Bezjian

System and method for maintaining performance data in a data processing system
Patent #: 5684945
Issued on: 11/04/1997
Inventor: Chen, et al.

Transmitter freeze/fault detection Patent #: 5764537
Issued on: 06/09/1998
Inventor: Walter, et al.

Inventors

Application

No. 800381 filed on 02/14/1997

US Classes:

709/224, Computer network monitoring709/223COMPUTER NETWORK MANAGING

Examiners

Primary: Ramirez, Ellis B.
Assistant: Titcomb, William

Attorney, Agent or Firm

Staas & Halsey

Foreign Patent References

5-2508 JP. 01/13/1993

International Class

G06F 9/2/2

Foreign Application Priority Data

1996-08-23 JP

Abstract

A method of visualizing the results of performance monitoring and analysis for a parallel computing system in which a plurality of processors execute a parallel processing program composed of a plurality of routines. First, information on the execution time of each routine is collected in a realtime manner while the program is concurrently executed by the plurality of processors. Second, a maximum, average, and minimum values of the execution time of each routine are calculated, based on the information collected for the plurality of processors. Third, the collected information is summarized as an execution profile and displayed in graphical form by using bar graphs, pie graphs, or radar charts. For each procedure or program loop, the present method clarifies the percentages of net user program execution, communication, synchronization, and other parallelization overheads, as well as indicating their deviations. This feature helps the user to understand the actual program behavior and to tune up the parallel processing program.