DocumentCode :
3111265
Title :
Test scheduling for high performance VLSI system implementations
Author :
Sayah, John ; Kime, Charles R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fYear :
1988
fDate :
12-14 Sep 1988
Firstpage :
421
Lastpage :
430
Abstract :
A powerful suboptimum heuristic for scheduling tests on general-purpose high-performance VLSI system implementations is presented. A simple model that represents a system and its organization, at any level, by a labeled resource allocation graph between test functions and test and system resources was introduced. The resource allocation graph was utilized to produce a scheduling model and a simple schedulability condition. An algorithm based on mechanisms for generating optimum schedules was presented. The algorithm performs a preliminary greedy scan for valid scheduling cycles. The partial scan seeds an iterative improvement procedure which utilizes a controlled incremental departure from local optima to schedule functions that require an equal number of tests. Methods to utilize the algorithm for a general number of tests per function were also outlined. The implementation of an experimental version of the algorithm showed good performance
Keywords :
VLSI; automatic testing; electronic engineering computing; integrated circuit testing; iterative methods; VLSI; automatic testing; iterative improvement procedure; labeled resource allocation graph; local optima; optimum schedules; scheduling model; suboptimum heuristic; test functions; Built-in self-test; Clocks; Design for testability; Logic testing; Parallel processing; Performance evaluation; Pipeline processing; Processor scheduling; System testing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test Conference, 1988. Proceedings. New Frontiers in Testing, International
Conference_Location :
Washington, DC
ISSN :
1089-3539
Print_ISBN :
0-8186-0870-6
Type :
conf
DOI :
10.1109/TEST.1988.207829
Filename :
207829
Link To Document :
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