A method for execution by a dispersed storage network (DSN) managing unit includes receiving access information from a plurality of distributed storage and task (DST) processing units via a network. Cache memory utilization data is generated based on the access information. Configuration instructions are generated for transmission via the network to the plurality of DST processing units based on the cache memory utilization data.

Techniques are disclosed relating to filtering messages. A computer system may detect an occurrence of an event of a particular type. The computer system may determine whether to enqueue, in a message queue, a message that identifies a set of tasks to be performed in relation to the event. The determination may be based on a response received from a cache that stores a subset of filter rules of a filter rules table. Based on the response indicating a cache miss, the computer system may enqueue the message in the message queue. A process that processes the message may be operable to resolve the cache miss by 1) accessing a filter rule from the filter rules table that indicates whether messages for events of the particular type should be enqueued in the message queue and 2) updating the cache to store the filter rule.

A cache system, having cache sets, a connection to a line identifying an execution type, a connection to a line identifying a status of speculative execution, and a logic circuit that can: allocate a first subset of cache sets when the execution type is a first type indicating non-speculative execution, allocate a second subset when the execution type changes from the first type to a second type indicating speculative execution, and reserve a cache set when the execution type is the second type. When the execution type changes from the second to the first type and the status of speculative execution indicates that a result of speculative execution is to be accepted, the logic circuit can reconfigure the second subset when the execution type is the first type; and allocate the at least one cache set when the execution type changes from the first to the second type.

The present disclosure provides methods, apparatuses, and servers for cache-coherence. In some embodiments, an apparatus includes a plurality of compute express link (CXL) devices, and a switch. Each CXL device of the plurality of CXL devices includes a memory in which a portion of the memory is allocated as a cache buffer, to which different cache eviction policies are allocated. The different cache eviction policies are modified according to a cache hit ratio of the cache buffer. The switch is configured to connect the plurality of CXL devices to each other.

Embodiments are generally directed to methods and apparatuses for dynamically changing data priority in a cache. An embodiment of an apparatus comprising: a priority controller to: receive a memory access request to request data; and set a priority flag for the memory access request based on an accumulated access amount of data stored in a memory block to be accessed by the memory access request to dynamically change a priority level of the requested data.

A heterogeneous memory system is implemented using a low-latency near memory (NM) and a high-latency far memory (FM). Pages in the memory system include NM blocks stored in the NM and FM blocks stored in the FM. A page is assigned to a region in the memory system based on the proportion of NM blocks in the page. When accessing a block, the block address is used to determine a region of the memory system, and a block offset is used to determine whether the block is stored in NM or FM. The memory system may observe memory accesses to determine the access statistics of the page and the block. Based on a page's hotness and access density, the page may be migrated to a different region. Based on a block's hotness, the block may be migrated between NM and FM allocated to the page.

Systems and methods are disclosed including a processing device operatively coupled to a first and a second memory device. The processing device can receive a set of data access requests, from a host system, in a first order and execute the set of data access requests in a second order. The processing device can further identify a late data access request of the set of data access requests and determine whether a data structure in a local memory associated with the processing device includes a previous outstanding data access request corresponding to an address associated with the late data access request. Responsive to determining that the data structure includes an indication of a previous outstanding data access request corresponding to the address associated with the late data access request, identifying a type of data dependency associated with the previous outstanding data access request and performing one or more operations associated with the type of data dependency.

Apparatuses, systems, and methods for controlling cache allocations in a configurable combined private and shared cache in a processor-based system. The processor-based system is configured to receive a cache allocation request to allocate a line in a share cache structure, which may further include a client identification (ID). The cache allocation request and the client ID can be compared to a sub-non-uniform memory access (NUMA) (sub-NUMA) bit mask and a client allocation bit mask to generate a cache allocation vector. The sub-NUMA bit mask may have been programmed to indicate that processing cores associated with a sub-NUMA region are available, whereas processing cores associated with other sub-NUMA regions are not available, and the client allocation bit mask may have been programmed to indicate that processing cores are available. The sub-NUMA bit mask and the client allocation bit mask can be combined to create a cache allocation vector that a cache allocation request to allocate a line serviced by one of processing cores.

Some embodiments provide a neural network inference circuit (NNIC) for executing a neural network that includes computation nodes at multiple layers. The NNIC includes multiple value computation circuits for computing output values of computation nodes. The NNIC includes a set of memories for storing the output values of computation nodes for use as input values to computation nodes in subsequent layers of the neural network. The NNIC includes a set of write control circuits for writing the computed output values to the set of memories. Upon receiving a set of computed output values, a write control circuit (i) temporarily stores the set of computed output values in a cache when adding the set of computed output values to the cache does not cause the cache to fill up and (ii) writes data in the cache to the set of memories when the cache fills up.

Systems and methods are disclosed for making space available in a local storage of a data intake and query system. A cache manager of the data intake and query system may determine an amount of storage space of a local data store that is available for use to perform a query. The cache manager may then use one or more eviction policies associated with content stored at the local data store to purge content items to evict from the local storage. The system may then retrieve content for performing the query from a remote storage and store the retrieved content at the local storage.