Guardant Health, Inc.

William Patrick Baird

Mikhail Zhagrov

Varsha Kohirkar

Alexander David Younts

Kumud Kalia

A data processing architecture controls data processing arbitration between a service provider, a local computing cluster, and a remote computing cluster. The architecture receives, by a data processing controller, a request to perform one or more data processing operations for a batch of data and determines, by the data processing controller, whether the batch of data includes private information. The data processing controller selects a computing cluster from a plurality of computing clusters based on a result of determining whether the batch of data includes private information, the plurality of computing clusters comprising a local cluster and a cloud cluster. The data processing controller instructs the selected computing cluster to access the batch of data and perform the one or more data processing operations.

Data processing abstraction for high performance computing systems

A data processing architecture controls data processing arbitration in a high performance computing system that includes one or more premises. Individual premises can include one or more server computers executing an instance of a local file system and including one or more temporary data storage devices. Individual instances of the local file system can access files stored in objects of a primary data store. Individual objects of the primary data store can be accessed using a common identifier indicating a storage location of the individual objects in the primary data store.

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Orinda, CA, United States of America

William Patrick Baird