A hybrid memory module includes cache of relatively fast and durable dynamic, random-access memory (DRAM) in service of a larger amount of relatively slow and wear-sensitive flash memory. An address buffer on the module maintains a static, random-access memory (SRAM) cache of addresses for data cached in DRAM.

Aspects of the present disclosure relate to asynchronous memory management. In embodiments, an input/output (IO) workload is received at a storage array. Further, one or more read-miss events corresponding to the IO workload are identified. Additionally, at least one of the storage array's cache slots is bound to a track identifier (TID) corresponding to the read-miss events based on one or more of the read-miss events' two-dimensional metrics.

According to an embodiment, a cache unit includes: a first memory configured to temporarily hold data and an address of the data, a second memory configured to temporarily hold an address of particular data set in advance, and a controller configured to, when an instruction to load the data is made for a first specified address, search for a storage destination of the first specified address, output the data of the first specified address if the storage destination is the first memory, and output the particular data if the storage destination is the second memory.

According to an embodiment, a cache unit includes: a first memory configured to temporarily hold data and an address of the data, a second memory configured to temporarily hold an address of particular data set in advance, and a controller configured to, when an instruction to load the data is made for a first specified address, search for a storage destination of the first specified address, output the data of the first specified address if the storage destination is the first memory, and output the particular data if the storage destination is the second memory.

A computer-readable recording medium storing an information processing program for causing a computer to execute a process including: specifying an amount of first areas subjected to data update among a plurality of first areas that are contained in a cache storage area and allowed to be synchronized individually from each other with a nonvolatile storage area; and determining whether to individually synchronize the first areas subjected to the data update among the plurality of first areas with the nonvolatile storage area or collectively synchronize a second area that is formed by the plurality of first areas and allowed to be collectively synchronized with the nonvolatile storage area, with the nonvolatile storage area, based on the specified amount, a first processing time taken for synchronization between the first areas and the nonvolatile storage area, and a second processing time taken for synchronization between the second area and the nonvolatile storage area.

N-way associative cache pools can be implemented in an N-way associative cache. Different cache pools can be indicated by pool values. Different processes running on a computer can use different cache pools. An N-way associative cache circuit can be configured to have one or more stripe mode cache pools that are N-way associative. A cache control circuit can receive a physical address for a memory location and can interpret the physical address as fields including a tag field that contains a tag value and a set field that contains a set value. The physical address can also be used to determine a pool value that identifies one of the stripe mode cache pools. A set of N cache entries in the one of the stripe mode cache pools can be concurrently searched for the tag value. The set of N cache entries is determined using the set value.

Described herein is a graphics processing unit (GPU) comprising a first processing cluster to perform parallel processing operations, the parallel processing operations including a ray tracing operation and a matrix multiply operation; and a second processing cluster coupled to the first processing cluster, wherein the first processing cluster includes a floating-point unit to perform floating point operations, the floating-point unit is configured to process an instruction using a bfloat16 (BF16) format with a multiplier to multiply second and third source operands while an accumulator adds a first source operand with output from the multiplier.

Described herein is a graphics processing unit (GPU) comprising a first processing cluster to perform parallel processing operations, the parallel processing operations including a ray tracing operation and a matrix multiply operation; and a second processing cluster coupled to the first processing cluster, wherein the first processing cluster includes a floating-point unit to perform floating point operations, the floating-point unit is configured to process an instruction using a bfloat16 (BF16) format with a multiplier to multiply second and third source operands while an accumulator adds a first source operand with output from the multiplier.

The present disclosure includes apparatuses and methods for compute enabled cache. An example apparatus comprises a compute component, a memory and a controller coupled to the memory. The controller configured to operate on a block select and a subrow select as metadata to a cache line to control placement of the cache line in the memory to allow for a compute enabled cache.

The present disclosure includes apparatuses and methods for compute enabled cache. An example apparatus comprises a compute component, a memory and a controller coupled to the memory. The controller configured to operate on a block select and a subrow select as metadata to a cache line to control placement of the cache line in the memory to allow for a compute enabled cache.