Oracle International Corporation

Pure Storage, Inc.

Yao-Cheng Tien

Rupesh Verma

Ronald S Karr

David A Grunwald

Thomas Gill

Luke Paulsen

Subramanian Venkateswaran

Anuj Trivedi

Jay J Zhu

Performing replicated data integrity, including: generating, at a first computer system, a local hash of a local dataset; replicating the local dataset; receiving, at the first computer system from a second computer system, a remote hash of a remote dataset generated from the local dataset replicated from the first computer system; and determining, based at least on a comparison of the local hash of the local dataset with the remote hash of the remote dataset, validity of the remote dataset generated from the local dataset replicated from the first computer system.

Replicated data integrity

A method for visually merging design databases without generating a merged database of the design databases is disclosed. A first display window that is to display information from a particular database in non-overlay mode is assigned to the first stack position, and a second display window that is to display information from another database in overlay mode is assigned to a next stack position. The second display window is positioned relative to the first display window using position information received from the first display window via an inter-process communication channel.

Overlay display of data from different databases

Techniques herein are for generating geometric models. A method involves receiving a raw data set. Generation parameters include an abstraction function, a raw data set, a plurality of size pairs, and a quality interval. Each size pair comprises a view size and a portion size. The view size comprises an amount of display area. The portion size comprises an amount of raw data. For each size pair, associate a set of grid square sizes with the size pair. Each grid square size comprises a multiple of natural units. The quality interval contains a multiplicative product of the grid square size times a ratio of the view size to the portion size. Generate a set of geometric models based on the raw data set, the plurality of size pairs, the abstraction function, and the set of grid square sizes associated with the plurality of size pairs.

Geometric model for visually debugging massive spatial datasets

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Milpitas, CA, United States of America

Yao-Cheng Tien