Methods, systems, and computer-storage media are provided for utilizing a multi-layer caching system to provide fast and accurate diagnostic image renderings to a healthcare provider. After receiving a request to view medical image data that comprises at least one image frame, the system accesses a least recently used (LRU) memory cache and a local database to determine whether the requested medical image data is stored locally. If the medical image data is not stored locally, the system accesses a remote image storage and retrieves the medical image data requested. The medical image data is then transformed from a compressed format to a decompressed format and transmitted to a user for review. Additionally, the decompressed medical image data is stored locally at either the LRU memory cache or the local database until no longer needed.

To be able to deal with more request information without increasing the load on a peer-to-peer database system. An information processing apparatus is provided including an acquisition unit that acquires data provided from a P2P database on the basis of request information, and a storage control unit that controls storage of the data performed by a cache storage unit.

In an example embodiment, a system and method to store and retrieve application data from a cache and a database are provided. The example method may comprise receiving location data associated with application data from a user device, using the location data to determine a cache or database on which the application data is stored, and requesting application data from the cache or database. The system and method may further include monitoring requests for application data associated with instructions having a set of characteristics, identifying application data as associated with the instructions having the set of characteristics, and requesting the application data based on receiving subsequent instructions sharing the same set of characteristics.

A data sync cache is maintained to facilitate syncing of child data objects between a first computing system and a second computing system. Responsive to successful syncing of a parent data object of a child data object by a first sync engine, parent object data sync information indicating that the parent data object was successfully synced is written to the data sync cache. Prior to initiating a sync of the child data object by a second sync engine different from the first sync engine, a cache lookup of the data sync cache is performed to determine if the sync information is contained therein. If the data sync cache includes the sync information, the child data object sync is initiated. In this manner, failed syncs of child data objects are reduced along with the expensive API calls to the second computing system that would otherwise be required to retry failed syncs.

A method for providing elastic columnar cache includes receiving cache configuration information indicating a maximum size and an incremental size for a cache associated with a user. The cache is configured to store a portion of a table in a row-major format. The method includes caching, in a column-major format, a subset of the plurality of columns of the table in the cache and receiving a plurality of data requests requesting access to the table and associated with a corresponding access pattern requiring access to one or more of the columns. While executing one or more workloads, the method includes, for each column of the table, determining an access frequency indicating a number of times the corresponding column is accessed over a predetermined time period and dynamically adjusting the subset of columns based on the access patterns, the maximum size, and the incremental size.

A method for mapping an object store may include storing a data entry within a mapping page for an object in the object store, wherein the data entry may include a key and a value, and the value may include an address for the object in the object store. The method may further include storing multiple data entries within the mapping page for multiple corresponding objects in the object store, wherein each data entry may include a key and one or more values for a corresponding object in the object store, and each value may include an address for the corresponding object in the object store. The data entries may be part of a mapping data structure which may include nodes, and each node may be stored within a mapping page.

A method, computer program product, and computer system for identifying, by a computing device, content in a first bucket in a first cache. It may be determined that a first portion of the content in the first bucket is a duplicate, wherein a second portion of the content in the first bucket may be unique. The first portion of the content in the first bucket may be deduplicated from the first cache. The second portion of the content may be stored in a second bucket in a second cache.

Described herein are systems, methods, and non-transitory computer readable media for memory address encoding of multi-dimensional data in a manner that optimizes the storage and access of such data in linear data storage. The multi-dimensional data may be spatial-temporal data that includes two or more spatial dimensions and a time dimension. An improved memory architecture is provided that includes an address encoder that takes a multi-dimensional coordinate as input and produces a linear physical memory address. The address encoder encodes the multi-dimensional data such that two multi-dimensional coordinates close to one another in multi-dimensional space are likely to be stored in close proximity to one another in linear data storage. In this manner, the number of main memory accesses, and thus, overall memory access latency is reduced, particularly in connection with real-world applications in which the respective probabilities of moving along any given dimension are very close.

Systems, apparatuses, and methods related to a computing tile are described. The computing tile may perform operations on received data to extract some of the received data. The computing tile may perform operations without intervening commands. The computing tile may perform operations on data streamed through the computing tile to extract relevant data from data received by the computing tile. In an example, the computing tile is configured to receive a command to initiate an operation to reduce a size of a block of data from a first size to a second size. The computing tile can then receive a block of data from a memory device coupled to the apparatus. The computing tile can then perform an operation on the block of data to extract predetermined data from the block of data to reduce a size of the block of data from a first size to a second size.

A method for providing elastic columnar cache includes receiving cache configuration information indicating a maximum size and an incremental size for a cache associated with a user. The cache is configured to store a portion of a table in a row-major format. The method includes caching, in a column-major format, a subset of the plurality of columns of the table in the cache and receiving a plurality of data requests requesting access to the table and associated with a corresponding access pattern requiring access to one or more of the columns. While executing one or more workloads, the method includes, for each column of the table, determining an access frequency indicating a number of times the corresponding column is accessed over a predetermined time period and dynamically adjusting the subset of columns based on the access patterns, the maximum size, and the incremental size.