Pure Storage, Inc.

Bennett Amodio

Emily Potyraj

Matthew Strathman

Robert H Lee

Brian Gold

Oksana Aguilera

Smruthi Manjunath

A storage system has storage devices and a storage controller that includes a processing device. The processing device is to receive a request for portions of data stored at locations of one or more storage devices. The processing device is to generate a file at a storage device. The file corresponds to a view of the portions of data stored at the locations of the one or more storage devices. The processing device is to identify the portions of data that are stored at the locations of the one or more storage devices. The processing device is to provide the view comprising the portions of data.

Enhanced data access using composite data views

Nonsequential readahead for deep learning training that includes: receiving an indication of a list of batch storage locations for a batch of data objects; prefetching, for each storage location in the list of batch storage locations, storage content corresponding to the batch of data objects; and storing the storage content corresponding to the batch of data objects within a cache accessible to an artificial intelligence workflow.

Training artificial intelligence workflows

Nonsequential readahead based on data access patterns, the method comprising: determining a set of access patterns for stored content; determining, based on the set of access patterns, a list of storage locations for content expected to be used; and prefetching, based on the list of storage locations for content expected to be used, one or more data objects.

Inferred nonsequential prefetch based on data access patterns

Non-sequential readahead for deep learning training

The embodiments provide for a method of expanding a clustered service. The method includes inserting a network layer, comprising multiple switch devices, between switch devices of a network and switch devices of a clustered service, rearranging connections of the switch devices of the network and the switch devices of the clustered service to form a multi-chassis link aggregation group (MC-LAG), and maintaining data traffic during the rearranging the connections.

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Mountain View, CA, United States of America

Bennett Amodio