Akash Jain

US Patent:

7962495, Jun 14, 2011

Filed:

Nov 20, 2006

Appl. No.:

11/602626

Inventors:

Akash Jain - Mountain View CA, US
Robert J. McGrew - Los Altos CA, US
Nathan Gettings - Palo Alto CA, US

Assignee:

Palantir Technologies, Inc. - Palo Alto CA

International Classification:

G06F 17/30

US Classification:

707755, 707802, 706 2

Abstract:

In one embodiment, a method comprises creating and storing an ontology for a data store in response to receiving first user input defining the ontology, wherein the ontology comprises a plurality of data object types and a plurality of object property types; creating one or more parser definitions in response to receiving second user input defining the parser definitions, wherein each of the parser definitions specifies one or more sub-definitions of how to transform first input data into modified input data that is compatible with one of the object property types; and storing each of the one or more parser definitions in association with one of the plurality of object property types.

US Patent:

8271931, Sep 18, 2012

Filed:

Apr 30, 2010

Appl. No.:

12/771754

Inventors:

Qiang Chen - Cupertino CA, US
Sridhar Tirumala - Saratoga CA, US
Akash Jain - Milpitas CA, US

Assignee:

Synopsys, Inc. - Mountain View CA

International Classification:

G06F 17/50

US Classification:

716133, 716132, 716136, 703 2

Abstract:

A design optimization method for a target circuit design specified by a machine-readable file, comprises providing a computer-implemented model as a function of a set of characteristics of circuit designs of circuit optimization achievable due to a circuit modification procedure, such as timing constrained gate length modification for leakage power reduction. Using values of said set of characteristics for the target circuit design, the computer-implemented model is applied to the target circuit design to produce an indication of susceptibility of the target circuit design to optimization. The model can be produced using Monte Carlo simulations of a set of virtual designs, and fitting a function of said characteristics to the results.

US Patent:

8489623, Jul 16, 2013

Filed:

May 12, 2011

Appl. No.:

13/106636

Inventors:

Akash Jain - Mountain View CA, US
Robert J. McGrew - Los Altos CA, US
Nathan Gettings - Palo Alto CA, US

Assignee:

Palantir Technologies, Inc. - Palo Alto CA

International Classification:

G06F 17/30

US Classification:

707755

Abstract:

In one embodiment, a method comprises creating and storing an ontology for a data store in response to receiving first user input defining the ontology, wherein the ontology comprises a plurality of data object types and a plurality of object property types; creating one or more parser definitions in response to receiving second user input defining the parser definitions, wherein each of the parser definitions specifies one or more sub-definitions of how to transform first input data into modified input data that is compatible with one of the object property types; and storing each of the one or more parser definitions in association with one of the plurality of object property types.

US Patent:

8555233, Oct 8, 2013

Filed:

Aug 24, 2012

Appl. No.:

13/594154

Inventors:

Qiang Chen - Cupertino CA, US
Sridhar Tirumala - Saratoga CA, US
Akash Jain - Milpitas CA, US

Assignee:

Synopsys, Inc. - Mountain View CA

International Classification:

G06F 17/50

US Classification:

716132, 716133, 716134, 716136, 703 2

Abstract:

A design optimization method for a target circuit design specified by a machine-readable file, comprises providing a computer-implemented model as a function of a set of characteristics of circuit designs of circuit optimization achievable due to a circuit modification procedure, such as timing constrained gate length modification for leakage power reduction. Using values of said set of characteristics for the target circuit design, the computer-implemented model is applied to the target circuit design to produce an indication of susceptibility of the target circuit design to optimization. The model can be produced using Monte Carlo simulations of a set of virtual designs, and fitting a function of said characteristics to the results.