Parallel adjusting and performance analyzing method of supporting multi-language multi-platform under isomerized environment

An analysis method, multi-language technology, applied in the field of debugging and monitoring in high-performance parallel computing, can solve problems such as poor performance, high-performance computing environment complexity, poor platform compatibility, etc.
CN1949185AInactive Publication Date: 2007-04-18TONGJI UNIV

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
TONGJI UNIV
Publication Date
2007-04-18
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention supplies multi-language multiplatform parallel debugging and performance analysis method under isomerization environment. The parallel debugging and performance analysis system is divided into monitoring end, concentrating watching process, and long distance running node. It realizes visualization performance analysis and debugging which includes the steps that front end code analysis, auto pile pitching, debugging support and performance analysis, and visualization user management. It supports isomerization parallel environment, multi-language and parallel platform of which architecture irrespective with the language and parallel platform has pile pitching module independent of the concrete programming language and parallel library. It supplies a new method and means for multi-language multiplatform parallel debugging and performance analysis under isomerization environment.
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Description

technical field

[0001] The invention relates to a parallel debugging and performance analysis method, belonging to the technical field of debugging and monitoring in high-performance parallel computing. Background technique

[0002] At present, the research on the network high-performance computing environment has been widely valued, and the construction ideas and implementation forms are also different. According to the form of construction, they can be divided into two categories related to technology:

[0003] (1) Cluster computing. Use a high-speed network to connect a group of workstations or microcomputers to form a cluster, or find a group of idle processors on the general network to form a dynamic virtual cluster, so that it can provide high-performance computing services with high cost performance under the control of intermediate management.

[0004] (2) Grid computing. Its goal is to organize and manage computing resources, data sources and other devices in a w...

Claims

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