Patents by Inventor Mallory M. Green
Mallory M. Green has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230325302Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: ApplicationFiled: March 16, 2023Publication date: October 12, 2023Inventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Patent number: 11609840Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: GrantFiled: February 4, 2022Date of Patent: March 21, 2023Assignee: GREEN HILLS SOFTWARE LLCInventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Publication number: 20220245057Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: ApplicationFiled: February 4, 2022Publication date: August 4, 2022Inventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Patent number: 11314625Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: GrantFiled: December 18, 2019Date of Patent: April 26, 2022Assignee: Green Hills Software, Inc.Inventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Patent number: 11243871Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: GrantFiled: September 24, 2020Date of Patent: February 8, 2022Assignee: Green Hills Software LLCInventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Publication number: 20210117309Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: ApplicationFiled: September 24, 2020Publication date: April 22, 2021Inventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Patent number: 10817404Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: GrantFiled: April 22, 2019Date of Patent: October 27, 2020Assignee: Green Hills Software LLCInventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Patent number: 10795803Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: GrantFiled: December 18, 2019Date of Patent: October 6, 2020Assignee: GREEN HILLS SOFTWARE LLCInventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Publication number: 20200167266Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: ApplicationFiled: December 18, 2019Publication date: May 28, 2020Applicant: Green Hills Software LLCInventors: Daniel D. O' Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Publication number: 20200167265Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: ApplicationFiled: December 18, 2019Publication date: May 28, 2020Applicant: Green Hills Software LLCInventors: Daniel D. O Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Patent number: 10657026Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: GrantFiled: September 19, 2018Date of Patent: May 19, 2020Assignee: GREEN HILLS SOFTWARE LLCInventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Patent number: 10592394Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: GrantFiled: October 7, 2019Date of Patent: March 17, 2020Assignee: Green Hills Software LLCInventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Publication number: 20200034276Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: ApplicationFiled: October 7, 2019Publication date: January 30, 2020Inventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Publication number: 20200019487Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: ApplicationFiled: April 22, 2019Publication date: January 16, 2020Inventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Patent number: 10528451Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: GrantFiled: October 10, 2017Date of Patent: January 7, 2020Assignee: GREEN HILLS SOFTWARE LLCInventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Patent number: 10324824Abstract: In an embodiment, a system is configured to replay and/or reconstruct execution events and system states in real time or substantially in real time starting from the point when execution of a target program has stopped to the point when the user desires to step through the target program's execution in order to debug the software. In an embodiment, a system is configured to efficiently collect trace data that is sufficient to reconstruct the state of a computer system at any point of time from the start of execution to the time execution was stopped. Efficient and effective debugging of the software can be performed using embodiments of the disclosed methods, systems, and devices.Type: GrantFiled: January 8, 2018Date of Patent: June 18, 2019Assignee: Green Hills Software LLCInventors: Daniel D. O'Dowd, Steven H. Ginzburg, Nikola Valerjev, Gregory Davis, Greg Eddington, Nathan Field, Mallory M. Green, Phillip Kelly, Michael B. Wolf, Tom Zavisca
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Publication number: 20190179728Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: ApplicationFiled: September 19, 2018Publication date: June 13, 2019Applicant: Green Hills Software, Inc.Inventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Patent number: 10303585Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: GrantFiled: September 19, 2018Date of Patent: May 28, 2019Assignee: GREEN HILLS SOFTWARE LLCInventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Publication number: 20190108117Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: ApplicationFiled: September 19, 2018Publication date: April 11, 2019Applicant: Green Hills Software, Inc.Inventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca
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Patent number: 10127139Abstract: Systems and methods for visualizing and/or analyzing trace data collected during execution of a computer system are described. Algorithms and user interface elements are disclosed for providing user interfaces, data summarization technologies, and/or underlying file structures to facilitate such visualization and/or analysis. Trace data history summarization algorithms are also disclosed. Various combinations of the disclosed systems and methods may be employed, depending on the particular requirements of each implementation.Type: GrantFiled: October 10, 2017Date of Patent: November 13, 2018Assignee: Green Hills Software, Inc.Inventors: Daniel D. O'Dowd, Nathan D. Field, Evan D. Mullinix, Gwen E. Tevis, Nikola Valerjev, Kevin L. Kassing, Mallory M. Green, II, Gregory N. Eddington, Tom R. Zavisca