An electronic device may include an electronic display to display an image based on processed image data. The electronic device may also include image processing circuitry to generate the processed image data based on input image data and previously determined data stored in memory. The image processing circuitry may also operate according to real-time computing constraints. Cache memory may store the previously determined data in a provisioned section of the cache memory allotted to the image processing circuitry. Additionally, a controller may manage reading and writing of the previously determined data to the provisioned section of the cache memory.

Data can be prefetched in a distributed storage system. For example, a computing device can receive a message with metadata associated with at least one request for an input/output operation from a message queue. The computing device can determine, based on the message from the message queue, an additional IO operation predicted to be requested by a client subsequent to the at least one request for the IO operation. The computing device can send a notification to a storage node of a plurality of storage nodes associated with the additional IO operation for prefetching data of the additional IO operation prior to the client requesting the additional IO operation.

Methods, systems, apparatuses, and computer program products are provided for prefetching data. A workload analyzer may identify job characteristics for a plurality of previously executed jobs in a workload executing on a cluster of one or more compute resources. For each job, identified job characteristics may include identification of an input dataset and an input bandwidth characteristic for the input dataset. A future workload predictor may identify future jobs expected to execute on the cluster based at least on the identified job characteristics. A cache assignment determiner may determine a cache assignment that identifies a prefetch dataset for at least one of the future jobs. A network bandwidth allocator may determine a network bandwidth assignment for the prefetch dataset. A plan instructor may instruct a compute resource of the cluster to load data to a cache local to the cluster according to the cache assignment and the network bandwidth assignment.

Aspects of the present disclosure relate to an apparatus comprising prefetch information storage circuitry and prefetch training circuitry. The prefetch training circuitry comprises a plurality of entries, and is configured to: allocate a given entry to a given data address region; receive access information indicative of data accesses within the given data address region; based on said access information, train prefetch information associated with the given data address region, the prefetch information being indicative of a pattern of said data accesses within the given data address region; and responsive to an eviction condition being met after an elapsed period, since said allocation of the given entry, has exceeded a threshold, perform an eviction comprising transferring the prefetch information associated with the given data address region to the prefetch information storage circuitry.

Managing data stored in a cache using a reinforcement learning agent may include: determining a set of current state observations with respect to a cache, wherein the set of current state observations is determined based on historical cache accesses to the cache; inputting the set of current state observations into an actor network of a reinforcement learning (RL) agent to obtain an action output by the actor network, wherein the RL agent is configured to manage data stored at the cache; inputting the set of current state observations and the action into a critic network of the RL agent to obtain a score corresponding to the action from the critic network; causing the RL agent to perform the action with respect to managing the data stored at the cache; using the score to update the actor network; and using a reward corresponding to the action to update the critic network.

Methods, systems, and devices for memory operations are described. A memory system may write data to sequential physical addresses of the memory system based on receiving multiple write commands, where the sequential physical addresses may be associated with sequential logical addresses. Based on writing the data, the memory system may receive a read command for data stored in the memory system, where the read command may include a logical address. The memory system may determine a physical address of the memory system where the data is stored based on the received logical address, a last logical address written at the memory system, and a sequence number group associated with the last logical address. Based on determining the physical address, the memory system may read the data stored at the physical address.

A graph can be generated based on an access pattern associated with blocks of a memory device that have been accessed by a host system, wherein the graph comprises nodes representing at least a subset of the blocks that have been accessed by the host system and edges that are based on the access pattern, wherein each edge is associated with a respective probability value between a respective pair of nodes. A number of edges having respective probability values that satisfy a probability value threshold criterion can be determined. It can be determined whether the number of edges satisfies a decayed edge value condition. In response to determining that the number of edges does not satisfy the decayed edge value condition, the graph can be removed.

Resources of an electronic device are partitioned into a plurality of resource portions to be utilized by a plurality of clients. Each resource portion is assigned to a respective client, has a respective partition identifier (ID), and corresponds to a plurality memory bandwidth usage states tracked for a plurality of memory blocks. For each resource portion, each of the memory bandwidth usage states is associated with a respective memory block and indicates at least how much of a memory access bandwidth assigned to the respective partition ID to access the respective memory block is used. A usage level is determined for each resource partition based on the memory bandwidth usage states, and applied to adjust a credit count. When the credit count is adjusted beyond a request issue threshold, a next data access request is issued from a memory access request queue for the respective partition ID.

One example method includes determining a modulus such as a Weibull modulus for a recovery operation. Enablement and disablement of a read ahead cache are performed based on the modulus. The modulus is a linearization of a cumulative distribution function, where failures correspond to non-sequential accesses and successes correspond to sequential accesses.

A technique is provided for prefetching data items. An apparatus has a storage structure with a plurality of entries to store data items. The storage structure is responsive to access requests from processing circuitry to provide access to the data items. The apparatus has prefetch circuitry to prefetch data and correlation information storage to store correlation information for a plurality of data items. The correlation information identifies, for each of the plurality of data items, one or more correlated data items. The prefetch circuitry is configured to monitor the access requests from the processing circuitry. In response to detecting a hit in the correlation information storage for a particular access request that identifies a requested data item for which the correlation information storage stores correlation information, the prefetch circuitry is configured to prefetch the one or more correlated data items identified by the correlation information for the requested data item.