Error detection/correction and fault detection/recovery – Pulse or data error handling – Memory testing
Reexamination Certificate
2006-02-09
2009-10-27
Ellis, Kevin L (Department: 2117)
Error detection/correction and fault detection/recovery
Pulse or data error handling
Memory testing
C365S200000, C365S201000
Reexamination Certificate
active
07610523
ABSTRACT:
An in-system memory testing method includes transparently selecting and “stealing” a portion of memory from the memory system for running memory tests, then running one or more of the numerous known memory system tests on the selected portion of memory, and then inserting the selected, and now tested, portion of memory back into the system for normal application use. The disclosed in-system memory testing method is capable of testing system memory in both offline and online environments, without imposing any additional hardware requirements or significantly affecting system performance. The disclosed in-system memory testing method is compatible with any conventional prior art functional test algorithm for in-system memory testing and can be performed under real life system environmental conditions. Therefore, the disclosed in-system memory testing method complements other test techniques like BIST/POST that are conventionally used only at the time of system boot up.
REFERENCES:
patent: 5603011 (1997-02-01), Piazza
patent: 5881221 (1999-03-01), Hoang et al.
patent: 2005/0055674 (2005-03-01), Shidla et al.
Ellis Kevin L
Gunnison McKay & Hodgson, L.L.P.
McKay Philip J.
McMahon Daniel F
Sun Microsystems Inc.
LandOfFree
Method and template for physical-memory allocation for... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and template for physical-memory allocation for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and template for physical-memory allocation for... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4077958