Error detection/correction and fault detection/recovery – Data processing system error or fault handling – Reliability and availability
Reexamination Certificate
2010-02-01
2011-10-18
Baderman, Scott (Department: 2114)
Error detection/correction and fault detection/recovery
Data processing system error or fault handling
Reliability and availability
Reexamination Certificate
active
08041998
ABSTRACT:
A method and/or a system of a processor-agnostic encoded debug architecture in a pipelined environment is disclosed. In one embodiment, a method of a processor includes processing an event specified by a data processing system coupled to the processor to determine a boundary of the event, generating a matrix having combinations of the event and other events occurring simultaneously in the processor, capturing an output data of observed ones of the event and other events, and applying the matrix to generate an encoded debug data of the output data. The method may also include determining which of the combinations are valid based on an architecture of the processor. The event may be a trace-worthy event whose output value cannot be reliably predicted in an executable file in the data processing system and/or a sync event that is specified by a user of the data processing system.
REFERENCES:
patent: 5615357 (1997-03-01), Ball
patent: 2003/0135719 (2003-07-01), DeWitt et al.
patent: 2004/0064685 (2004-04-01), Nguyen et al.
patent: 2006/0069953 (2006-03-01), Lippett et al.
Mandal Dipan Kumar
Thome Brian Joseph
Baderman Scott
Bassuk Lawrence J.
Brady W. James
Leibovich Yair
Telecky , Jr. Frederick J.
LandOfFree
Data processor decoding trace-worthy event collision matrix... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Data processor decoding trace-worthy event collision matrix..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data processor decoding trace-worthy event collision matrix... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4269785