US 2013/0297960 A1 · Time-Correlation of Data

Abstract

Test and measurement instrumentation collects time information independently in each clock domain using a device that monotonically changes state with the passage of time according to a local clock domain. The device under test therefore has a unique state for each synchronous time period. The instrumentation periodically samples the devices under test, collects the state of each device, and records the state of the devices in conjunction with any data collected in clock domains that are synchronous with the devices. The periodic samples are transformed into numeric values using an isomorphic or linear model. These values are then fitted to an assumed frequency model that relates the state of devices in otherwise unrelated clock domains.

Claims21

Dependent claims

A method for time-correlating data, the method comprising:

sampling state information from a plurality of embedded instruments situated within different clock domains;
transforming the sampled state information into numerical values;
fitting the numerical values to a model;
time-correlating a plurality of events based at least in part on the model;
and
inferring one or more simultaneous events, among the events, across the different clock domains.

3 more elements

A system for time-correlating data, the system comprising:

a first embedded instrument associated with a first clock domain and a first buffer, the first embedded instrument being configured to time-stamp first events in the first clock domain and store the time-stamped first events as first state information in the first buffer;
a second embedded instrument associated with a second clock domain and a second buffer, the second embedded instrument being configured to time-stamp second events in the second clock domain and store the time-stamped second events as second state information in the second buffer;
and
a time correlator device communicatively coupled to the first and second embedded instruments, the time correlator device configured to:
sample the first state information from the first embedded instrument;
sample the second state information from the second embedded instrument;
transform the sampled first and second state information into numerical values;
fit the numerical values to a model;
time-correlate the first events and the second events based at least in part on the model;
and
infer one or more simultaneous events, among the first events and the second events, across the first and second clock domains.

8 more elements

A system for time-correlating data, the system comprising:

a first embedded instrument associated with a first clock domain and a first buffer, the first embedded instrument being configured to time-stamp first events in the first clock domain and store the time-stamped first events as first state information in the first buffer;
a second embedded instrument associated with a second clock domain and a second buffer, the second embedded instrument being configured to time-stamp second events in the second clock domain and store the time-stamped second events as second state information in the second buffer;
and
an external test and measurement instrument associated with a third clock domain and a third buffer, the external test and measurement instrument being configured to time-stamp third events in the third clock domain and store the time-stamped third events as third state information in the third buffer.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

13/558,689Filed 26 Jul 2012

Priority

16 Mar 2012

Published

7 Nov 2013

Term ends

Not estimatedThe source records don’t support an estimate.

Classification3 codes

G06F 1/12
Generating or distributing clock signals or signals derived directly therefrom: synchronisation of different clock signals provided by a plurality…
G06F 11/26
Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing: functional…
G06F
Computing and data processing

Time-Correlation of Data

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Time-Correlation of Data

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Abstract

Claims21