SYSTEMS AND METHODS FOR IMPROVED PARALLEL ILU FACTORIZATION IN DISTRIBUTED SPARSE LINEAR SYSTEMS

Patent №

US 8,302,076

Granted

2012-10-30

Filed 2008

Owner

LANDMARK GRAPHICS CORPORATION, A HALLIBURTON COMPANY

+1 more

Lab

AI components

3

ml · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12269624

Systems and methods for parallel incomplete LU (ILU) factorization in distributed sparse linear systems, which order nodes underlying the equations in the system(s) by dividing nodes into interior nodes and boundary nodes and assigning no more than three codes to distinguish the boundary nodes. Each code determines an ordering of the nodes, which in turn determines the order in which the equations will be factored and the solution performed.

AI classification

Machine learning0.97
Evolutionary computation0.97
AI hardware0.95
Knowledge representation0.01
Vision0.01
Natural language0.01
Planning0.00
Speech0.00

Ownership

LANDMARK GRAPHICS CORPORATION, A HALLIBURTON COMPANY

assignment · 220270601

LANDMARK GRAPHICS CORPORATION

correct · 271810413

Assignors

WANG, QINGHUA, WATTS III, JAMES WILLIAM

On an employer assignment, the assignors are typically the inventors.

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