Li Li

US Patent:

7120753, Oct 10, 2006

Filed:

Apr 20, 2004

Appl. No.:

10/828455

Inventors:

Jos Manuel Accapadi - Austin TX, US
Andrew Dunshea - Austin TX, US
Li Li - Austin TX, US
Grover Herbert Neuman - Austin TX, US
Mysore Sathyanarayana Srinivas - Austin TX, US
David Alan Hepkin - Austin TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 12/00
G06F 9/38

US Classification:

711137, 711170, 711204, 711205, 711213

Abstract:

A system and method for dynamically altering a Virtual Memory Manager (VMM) Sequential-Access Read Ahead settings based upon current system memory conditions is provided. Normal VMM operations are performed using the Sequential-Access Read Ahead values set by the user. When low memory is detected, the system either turns off Sequential-Access Read Ahead operations or decreases the maximum page ahead (maxpgahead) value based upon whether the amount of free space is simply low or has reached a critically low level. The altered VMM Sequential-Access Read Ahead state remains in effect until enough free space is available so that normal VMM Sequential-Access Read Ahead operations can be performed (at which point the altered Sequential-Access Read Ahead values are reset to their original levels).

US Patent:

7318142, Jan 8, 2008

Filed:

Aug 8, 2006

Appl. No.:

11/463100

Inventors:

Jos Manuel Accapadi - Austin TX, US
Andrew Dunshea - Austin TX, US
Li Li - Austin TX, US
Grover Herbert Neuman - Austin TX, US
Mysore Sathyanarayana Srinivas - Austin TX, US
David Alan Hepkin - Austin TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 12/06

US Classification:

711204, 711170, 711169, 711167, 711213

Abstract:

A system and method for dynamically altering a Virtual Memory Manager (VMM) Sequential-Access Read Ahead settings based upon current system memory conditions is provided. Normal VMM operations are performed using the Sequential-Access Read Ahead values set by the user. When low memory is detected, the system either turns off Sequential-Access Read Ahead operations or decreases the maximum page ahead (maxpgahead) value based upon whether the amount of free space is simply low or has reached a critically low level. The altered VMM Sequential-Access Read Ahead state remains in effect until enough free space is available so that normal VMM Sequential-Access Read Ahead operations can be performed (at which point the altered Sequential-Access Read Ahead values are reset to their original levels).

US Patent:

8094940, Jan 10, 2012

Filed:

Oct 18, 2007

Appl. No.:

11/874224

Inventors:

Guoyou Chen - Austin TX, US
Li Li - Austin TX, US
Su Liu - Round Rock TX, US
Xinhua Wu - Austin TX, US
Shunguo Yan - Austin TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06K 9/18
G06K 9/36

US Classification:

382185, 382276

Abstract:

Illustrative embodiments provide a computer implemented method, a data processing system and a computer program product for transforming character data input between a first writing system and a second writing system. The computer implemented method comprises receiving character data input of a first writing system and ensuring the character data input contains normalized characters. A predefined transform is selected based on the character data input of the first writing system and output to a second writing system to transform the normalized characters of the first writing system to character data output of the second writing system, and providing the character data output to a display process.

US Patent:

20070061140, Mar 15, 2007

Filed:

Sep 15, 2005

Appl. No.:

11/227034

Inventors:

Li Li - Austin TX, US
Su Liu - Round Rock TX, US
Xinhua Wu - Austin TX, US
Shunguo Yan - Austin TX, US

International Classification:

G10L 15/00

US Classification:

704237000

Abstract:

A method, data processing system, and computer usable code are provided for collation regression testing. Collation elements are extracted from a locale seed file into an element list. A sorted list is generated from the element list both in a released product and an updated product that is being validated. A comparison is performed of the two lists to produce test results indicating a passing or failing of the collation produced by the updated product as compared to the released product.

US Patent:

20080222149, Sep 11, 2008

Filed:

May 28, 2008

Appl. No.:

12/128252

Inventors:

Li Li - Austin TX, US
Su Liu - Round Rock TX, US
Xinhua Wu - Austin TX, US
Shunguo Yan - Austin TX, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 7/08

US Classification:

707 7, 707E17001

Abstract:

A method, data processing system, and computer usable code are provided for collation regression testing. Collation elements are extracted from a locale seed file into an element list. A sorted list is generated from the element list both in a released product and an updated product that is being validated. A comparison is performed of the two lists to produce test results indicating a passing or failing of the collation produced by the updated product as compared to the released product.

US Patent:

20120137218, May 31, 2012

Filed:

Nov 30, 2010

Appl. No.:

12/956941

Inventors:

Li Li - Cedar Park TX, US
Su Liu - Round Rock TX, US
Azubuike Victor Onwuta - Austin TX, US
Aruna Yedavilli - Austin TX, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 17/24

US Classification:

715256

Abstract:

A computer implemented method, computer program product, and computer system for viewing content encoded in at least one code set and stored in a file system. A computer identifies a unified code set covering all characters used in the file system. The computer, responsive to a user input to view the content, determines whether the content is wholly encoded in the unified code set. The computer, responsive to determining that the code set is not wholly encoded in the unified code set, converts encoding of the content to the unified code set to form converted content. The computer displays the converted content.

US Patent:

20200285636, Sep 10, 2020

Filed:

Mar 5, 2019

Appl. No.:

16/292860

Inventors:

- Armonk NY, US
Li Li - Cedar Park TX, US
Zhichao Li - Austin TX, US
Ben Gibbs - Austin TX, US

International Classification:

G06F 16/242
G06F 16/22
G06F 16/248
G06F 16/9535
G06F 17/27

Abstract:

A method, computer program product, and system for providing cross-lingual search results that retain cultural context include a processor(s) monitoring (with user permission) computing activities performed by the user, via a client. The processor(s) analyzes the computing activities to identify data comprising elements relevant to the user and relationships between the elements and the user. The processor(s) generates a data structure comprising the data. The processor(s) generates a search interface for obtaining entries in a first language to perform a query; the entries are search parameters embedded with a portion of the elements. The processor(s) obtains an entry in the first language. The processor(s) extracts the portion of the elements from the entry (cultural context for the entry). The processor(s) determines target languages for data responsive to the query. The processor(s) translates the search parameters and the cultural context into the target languages and executes searches on databases.

US Patent:

20200089613, Mar 19, 2020

Filed:

Sep 13, 2018

Appl. No.:

16/130769

Inventors:

- Armonk NY, US
Li Li - Cedar Park TX, US
Riaz Y. Hussain - Austin TX, US
Ben Gibbs - Pflugerville TX, US
Su Liu - Austin TX, US

International Classification:

G06F 12/0831
G06T 1/60
G06T 1/20
G06F 12/084
G06F 9/38

Abstract:

An approach is provided in which a system includes a GPU cluster. The GPU cluster includes multiple GPU nodes, that each includes a GPU core and a corresponding local cache. The GPU cluster also includes a shared memory and an internal bus that maintains cache coherency between the shared memory and the local caches included in the GPU nodes.