Walters & Wolf
Contracts Administrator and Project Accountant
Walters & Wolf Jan 2018 - Oct 2018
Accounts Receivable Supervisor
Walters & Wolf Jul 2015 - Dec 2017
Accounts Receivable Specialist
Posiflex Business Machines Dec 2013 - Jul 2015
Accounts Receivable Specialist
Children's Council of San Francisco Jun 2008 - Jul 2008
Customer Service Representative
Education:
California State University-Hayward 2012 - 2014
Master's degree, Public Administration
University of California, Los Angeles 2003 - 2008
BA, Anthropology
Skills:
Analysis Accounts Payable Fundraising Customer Service Social Networking Community Outreach Program Development Outlook Payroll Great Plains Software Data Entry Teaching Microsoft Office Accounts Receivable Powerpoint Microsoft Excel
Interests:
Children Civil Rights and Social Action Education Poverty Alleviation Human Rights
Terry Dennis Allen - San Jose CA, US Hsiuying Cheng - Fremont CA, US Fen-Ling Lin - San Jose CA, US Akira Shibamiya - Los Altos CA, US Annie S. Tsang - Saratoga CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30 G06F 7/00
US Classification:
707 5, 707 3
Abstract:
Aspects for improving response time for database query execution are described. The aspects include comparing an estimate of sort pages needed for a database query against at least one threshold. A determination of whether to perform a parallel sort for the database query based on the comparison occurs, wherein response time improvement by the parallel sort is balanced against resource overhead of the parallel sort.
Method, System, And Program For Optimizing Database Query Execution
Terry Dennis Allen - San Jose CA, US Paramesh S. Desai - San Jose CA, US Akira Shibamiya - Los Altos CA, US Hong Sang Tie - San Jose CA, US Annie S. Tsang - Saratoga CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
US Classification:
707 8, 707 2
Abstract:
Disclosed is a method, system, and program for database query execution. A range of data pages is assigned to each of multiple parallel tasks. For each of the multiple parallel tasks, the range of data pages is mapped to one or more physical partitions, and a data partitioned secondary index partition associated with each of the one or more physical partitions is identified. Each of the multiple parallel tasks is executed to process the database query against the assigned range of data pages using the one or more data partitioned secondary index partitions.
Apportioning A Work Unit To Execute In Parallel In A Heterogeneous Envirnoment
TED ERIC BLANK - SAN JOSE CA, US TAMMIE DANG - MORGAN HILL CA, US FEN-LING LIN - SAN JOSE CA, US RANDY MITCHELL NAKAGAWA - SAN JOSE CA, US BRYAN FREDERICK SMITH - MORGAN HILL CA, US CRAIG LEONARD SUTTON - PALO ALTO CA, US DARREN BENJAMIN SWANK - POUGHKEEPSIE NY, US HONG SANG TIE - MORGAN HILL CA, US DINO CARLO TONELLI - MARLBORO NY, US ANNIE S. TSANG - SARATOGA CA, US KOUHORNG ALLEN YANG - SARATOGA CA, US KATHRYN RUTH ZEIDENSTEIN - SAN JOSE CA, US
International Classification:
G06F007/00 G06F017/30
US Classification:
707/001000, 707/104100
Abstract:
A method, apparatus, and article of manufacture for a computer-implemented apportioning system. Work is distributed to processors in a multi-processor system. Initially, during bind-time, a scaling factor is determined for each processor. The scaling factor represents relative processing power in relation to each other processor. Then, portions of a total amount of work are distributed to each processor based on the determined scaling factor of that processor and a determined amount of work for an average processor.