Puneet Yadav

US Patent:

6741983, May 25, 2004

Filed:

Sep 28, 2000

Appl. No.:

09/671304

Inventors:

John D. Birdwell - Oak Ridge TN 37830
Tse-Wei Wang - Oak Ridge TN 37830
Roger D. Horn - Knoxville TN 37923
Puneet Yadav - Fremont CA 94538
David J. Icove - Knoxville TN 37901-1411

International Classification:

G06F 1730

US Classification:

707 5, 707 2, 7071041

Abstract:

A tree-structured index to multidimensional data is created using naturally occurring patterns and clusters within the data which permit efficient search and retrieval strategies in a database of DNA profiles. A search engine utilizes hierarchical decomposition of the database by identifying clusters of similar DNA profiles and maps to parallel computer architecture, allowing scale up past previously feasible limits. Key benefits of the new method are logarithmic scale up and parallelization. These benefits are achieved by identification and utilization of naturally occurring patterns and clusters within stored data. The patterns and clusters enable the stored data to be partitioned into subsets of roughly equal size. The method can be applied recursively, resulting in a database tree that is balanced, meaning that all paths or branches through the tree have roughly the same length. The method achieves high performance by exploiting the natural structure of the data in a manner that maintains balanced trees.

US Patent:

7078344, Jul 18, 2006

Filed:

Jan 30, 2004

Appl. No.:

10/769498

Inventors:

Michael Ravkin - Sunnyvale CA, US
Mikhail Korolik - San Jose CA, US
Puneet Yadav - Fremont CA, US

Assignee:

Lam Research Corporation - Fremont CA

International Classification:

H01L 21/302

US Classification:

438692, 438 5

Abstract:

A system and method for planarizing and controlling non-uniformity on a patterned semiconductor substrate includes receiving a patterned semiconductor substrate. The patterned semiconductor substrate having a conductive interconnect material filling multiple features in the pattern. The conductive interconnect material having an overburden portion. A bulk of the overburden portion is removed and a remaining portion of the overburden portion has a non-uniformity. The non-uniformity is mapped, optimal solution determined and a dynamic liquid meniscus etch process recipe is developed to correct the non-uniformity. A dynamic liquid meniscus etch process, using the dynamic liquid meniscus etch process recipe, is applied to correct the non-uniformity to substantially planarize the remaining portion of the overburden portion.

US Patent:

7130767, Oct 31, 2006

Filed:

Sep 27, 2004

Appl. No.:

10/951551

Inventors:

Puneet Yadav - Fremont CA, US

Assignee:

Lam Research Corporation - Fremont CA

International Classification:

G06F 11/32

US Classification:

702182, 702179, 702180, 702181, 702183, 702184, 702185

Abstract:

A computer-implemented data presentation technique for presenting a set of expected failure states of system-related constructs pertaining to a plasma processing system is disclosed. The technique includes receiving a set of indicia pertaining to a first system-related construct of said system-related constructs. The technique also includes computing, in accordance with a first sub-method and responsive to said receiving said first set of indicia, a first expected failure state value. The technique further includes computing a first normalized expected failure state value in accordance with a first weight; correlating said first normalized expected failure state value to a first color; and displaying said first color in a cell of an n-dimensional matrix, wherein n is a number greater than 1.

US Patent:

7272612, Sep 18, 2007

Filed:

Jan 30, 2004

Appl. No.:

10/767730

Inventors:

John D. Birdwell - Oak Ridge TN, US
Tse-Wei Wang - Oak Ridge TN, US
Roger D. Horn - Knoxville TN, US
Puneet Yadav - Fremont CA, US
David J. Icove - Knoxville TN, US

Assignee:

University of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 7/00
G06F 17/30
G06F 17/00

US Classification:

707101, 7071041

Abstract:

A tree-structured index to multidimensional data is created using occurring patterns and clusters within the data which permit efficient search and retrieval strategies in a database of DNA profiles. A search engine utilizes hierarchical decomposition of the database by identifying clusters of similar DNA profiles and maps to parallel computer architecture, allowing scale up past previously feasible limits. Key benefits of the new method are logarithmic scale up and parallelization. These benefits are achieved by identification and utilization of occurring patterns and clusters within stored data. The patterns and clusters enable the stored data to be partitioned into subsets of roughly equal size. The method can be applied recursively, resulting in a database tree that is balanced, meaning that all paths or branches through the tree have roughly the same length. The method achieves high performance by exploiting the natural structure of the data in a manner that maintains balanced trees.

US Patent:

7295954, Nov 13, 2007

Filed:

Dec 20, 2002

Appl. No.:

10/327210

Inventors:

Puneet Yadav - Fremont CA, US

Assignee:

Lam Research Corporation - Fremont CA

International Classification:

G06F 15/00

US Classification:

702190, 703 14

Abstract:

A method for adjusting a data set defining a set of process runs, each process run having a set of data corresponding to a set of variables for a wafer processing operation is provided. A model derived from a data set is received. A new data set corresponding to one process run is received. The new data set is projected to the model. An outlier data point produced as a result of the projecting is identified. A variable corresponding to the one outlier data point is identified, the identified variable exhibiting a high contribution. A value for the variable from the new data set is identified. Whether the value for the variable is unimportant is determined. A normalized matrix of data is created, using random data and the variable that was determined to be unimportant from each of the new data set and the data set. The data set is updated with the normalized matrix of data.

US Patent:

7454411, Nov 18, 2008

Filed:

Jan 30, 2004

Appl. No.:

10/767776

Inventors:

John D. Birdwell - Oak Ridge TN, US
Tse-Wei Wang - Oak Ridge TN, US
Roger D. Horn - Knoxville TN, US
Puneet Yadav - Fremont CA, US
David J. Icove - Knoxville TN, US

Assignee:

Universtiy of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 17/30
G06F 7/00
G06F 17/00

US Classification:

707 3, 707 10, 7071041

Abstract:

A tree-structured index to multidimensional data is created using naturally occurring patterns and clusters within the data which permit efficient search and retrieval strategies in a database of DNA profiles. A search engine utilizes hierarchical decomposition of the database by identifying clusters of similar DNA profiles and maps to parallel computer architecture, allowing scale up past previously feasible limits. Key benefits of the new method are logarithmic scale up and parallelization. These benefits are achieved by identification and utilization of naturally occurring patterns and clusters within stored data. The patterns and clusters enable the stored data to be partitioned into subsets of roughly equal size. The method can be applied recursively, resulting in a database tree that is balanced, meaning that all paths or branches through the tree have roughly the same length. The method achieves high performance by exploiting the natural structure of the data in a manner that maintains balanced trees.

US Patent:

7653515, Jan 26, 2010

Filed:

Jan 25, 2007

Appl. No.:

11/698400

Inventors:

Puneet Yadav - Fremont CA, US

Assignee:

Lam Research Corporation - Fremont CA

International Classification:

G06F 19/00

US Classification:

702190, 702 19, 703 14

Abstract:

A method for adjusting a data set defining a set of process runs, each process run having a set of data corresponding to a set of variables for a wafer processing operation is provided. A model derived from a data set is received. A new data set corresponding to one process run is received. The new data set is projected to the model. An outlier data point produced as a result of the projecting is identified. A variable corresponding to the one outlier data point is identified, the identified variable exhibiting a high contribution. A value for the variable from the new data set is identified. Whether the value for the variable is unimportant is determined. A normalized matrix of data is created, using random data and the variable that was determined to be unimportant from each of the new data set and the data set. The data set is updated with the normalized matrix of data.

US Patent:

7769803, Aug 3, 2010

Filed:

Jan 2, 2008

Appl. No.:

11/968364

Inventors:

John D. Birdwell - Oak Ridge TN, US
Tse-Wei Wang - Oak Ridge TN, US
Roger D. Horn - Knoxville TN, US
Puneet Yadav - Fremont CA, US
David J. Icove - Knoxville TN, US

Assignee:

University of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 15/16
G06F 17/30

US Classification:

709201, 709202, 707713

Abstract:

A tree-structured index to multidimensional data is created using naturally occurring patterns and clusters within the data which permit efficient search and retrieval strategies in a database of DNA profiles. A search engine utilizes hierarchical decomposition of the database by identifying clusters of similar DNA profiles and maps to parallel computer architecture, allowing scale up past to previously feasible limits. Key benefits of the new method are logarithmic scale up and parallelization. These benefits are achieved by identification and utilization of naturally occurring patterns and clusters within stored data. The patterns and clusters enable the stored data to be partitioned into subsets of roughly equal size. The method can be applied recursively, resulting in a database tree that is balanced, meaning that all paths or branches through the tree have roughly the same length. The method achieves high performance by exploiting the natural structure of the data in a manner that maintains balanced trees.