Ryan A Kaneshiro

US Patent:

20060149606, Jul 6, 2006

Filed:

Jan 5, 2005

Appl. No.:

11/030572

Inventors:

Terrance Goan - Bellevue WA, US
Ronald Braun - Seattle WA, US
Ryan Kaneshiro - Seattle WA, US
Laurie Spencer - Seattle WA, US
Matthew Broadhead - Seattle WA, US
Lynn Gasch - Kirkland WA, US
Keith Weinberger - Seattle WA, US

Assignee:

Stottler Henke Associates, Inc. - San Mateo CA

International Classification:

G06Q 99/00
G06F 17/50
G06F 9/44

US Classification:

705007000, 705001000

Abstract:

Online information resources are searched. The system acts an assistant to the user during the search of online resources by pursuing search paths that the user did not recognize, or was unable to pursue due to time or skill limitations. After constructing a preliminary model of the user's information need the system identifies a number of unexplored leads and pursues them with a user-defined level of autonomy. Pursuing leads may involve the exploitation of any number of heuristics through automated advanced query construction and Web crawling methods. Documents discovered during the search are evaluated for likely utility and presented to the user. Both explicit feedback and inferences drawn from the user's interaction with online information are used to continually refine the model of the user's information need thereby redirecting the search system.

US Patent:

20220269532, Aug 25, 2022

Filed:

Feb 28, 2022

Appl. No.:

17/652924

Inventors:

- San Francisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - San Francisco CA, US
Alexander D. Kudlick - San Francisco CA, US
Mark G. Whitney - Berkeley CA, US
Alexander P. Huang - Walnut CA, US
Dongting Yu - San Francisco CA, US

Assignee:

Rescale, Inc. - San Francisco CA

International Classification:

G06F 9/48
G06F 9/54
G06F 21/10
G06F 8/61
H04L 41/022
H04L 67/01
H04L 67/53

Abstract:

The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

US Patent:

20210271514, Sep 2, 2021

Filed:

May 10, 2021

Appl. No.:

17/316307

Inventors:

- San Francisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - Walnut Creek CA, US
Alexander D. Kudlick - San Francisco CA, US
Mark G. Whitney - Berkeley CA, US
Alexander P. Huang - Walnut CA, US
Dongting Yu - San Francisco CA, US

Assignee:

Rescale, Inc. - San Francisco CA

International Classification:

G06F 9/48
H04L 29/08
H04L 29/06
G06F 9/54
G06F 21/10
G06F 8/61
H04L 12/24

Abstract:

The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

US Patent:

20200244544, Jul 30, 2020

Filed:

Apr 10, 2020

Appl. No.:

16/845676

Inventors:

- San Francisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - San Francisco CA, US

International Classification:

H04L 12/24
H04L 29/08
H04L 12/911
G06F 9/50

Abstract:

The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment. An intermediary server platform, between the user of the simulation task and the hardware providers on which the simulation task is executed, includes a cluster service that provisions computing resources on hardware provider platforms, an application service that configures the simulation application in accordance with application-imposed constraints, an application monitoring service that monitors execution of the simulation task for computing resource change indicators (including computing resource utilization and application-specific information extracted from output files generated by the simulation application) as well as restart files, and a computing resource evaluation engine that determines when a change in computing resources is warranted.

US Patent:

20190258513, Aug 22, 2019

Filed:

Apr 30, 2019

Appl. No.:

16/399091

Inventors:

- San Francisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - Walnut Creek CA, US
Alexander D. Kudlick - San Francisco CA, US
Mark G. Whitney - Berkeley CA, US
Alexander P. Huang - Walnut CA, US
Dongting Yu - San Francisco CA, US

International Classification:

G06F 9/48
G06F 8/61
G06F 21/10
H04L 29/08
H04L 12/24
G06F 9/54
H04L 29/06

Abstract:

The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

US Patent:

20190260648, Aug 22, 2019

Filed:

Apr 30, 2019

Appl. No.:

16/398942

Inventors:

- San Francisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - San Francisco CA, US

International Classification:

H04L 12/24
G06F 9/50
H04L 12/911
H04L 29/08

Abstract:

The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment. An intermediary server platform, between the user of the simulation task and the hardware providers on which the simulation task is executed, includes a cluster service that provisions computing resources on hardware provider platforms, an application service that configures the simulation application in accordance with application-imposed constraints, an application monitoring service that monitors execution of the simulation task for computing resource change indicators (including computing resource utilization and application-specific information extracted from output files generated by the simulation application) as well as restart files, and a computing resource evaluation engine that determines when a change in computing resources is warranted.

US Patent:

20190020552, Jan 17, 2019

Filed:

Sep 14, 2018

Appl. No.:

16/131460

Inventors:

- San Franscisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - San Francisco CA, US

International Classification:

H04L 12/24
G06F 9/50
H04L 12/911
H04L 29/08

Abstract:

The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment. An intermediary server platform, between the user of the simulation task and the hardware providers on which the simulation task is executed, includes a cluster service that provisions computing resources on hardware provider platforms, an application service that configures the simulation application in accordance with application-imposed constraints, an application monitoring service that monitors execution of the simulation task for computing resource change indicators (including computing resource utilization and application-specific information extracted from output files generated by the simulation application) as well as restart files, and a computing resource evaluation engine that determines when a change in computing resources is warranted.

US Patent:

20190014012, Jan 10, 2019

Filed:

Sep 14, 2018

Appl. No.:

16/131386

Inventors:

- San Francisco CA, US
Mulyanto W. Poort - San Francisco CA, US
Ryan A. Kaneshiro - San Francisco CA, US
Adam C. McKenzie - San Francisco CA, US

International Classification:

H04L 12/24
G06F 9/50
H04L 12/911
H04L 29/08

Abstract:

The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment. An intermediary server platform, between the user of the simulation task and the hardware providers on which the simulation task is executed, includes a cluster service that provisions computing resources on hardware provider platforms, an application service that configures the simulation application in accordance with application-imposed constraints, an application monitoring service that monitors execution of the simulation task for computing resource change indicators (including computing resource utilization and application-specific information extracted from output files generated by the simulation application) as well as restart files, and a computing resource evaluation engine that determines when a change in computing resources is warranted.