In one embodiment, a method of selectively reserving portions of a last level cache (LLC) for a multi-core processor, the method comprising: allocating, by an executive system, plural classes of service to the portions of the LLC, wherein the portions comprise ways, and wherein each of the plural classes of service are allocated to one or more of the ways; assigning, by the executive system, one of the plural classes of service to an application as a default class of service, wherein the assignment controls which of the ways the application can allocate into; and overriding, by the application, the default class of service to enable allocation by the application to the one or more of the ways associated with a non-default class of service.

Apparatuses, systems, and techniques to select cache policies. In at least one embodiment, a system causes one or more cache policies of one or more caches to be selected based, at least in part, on one or more neural networks to use data stored in the one or more caches.

Apparatuses, systems, and techniques to select cache policies. In at least one embodiment, a system causes one or more cache policies of one or more caches to be selected based, at least in part, on one or more neural networks to use data stored in the one or more caches.

An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to determine a set of requirements for a persistent storage media based on input from an agent, dedicate one or more banks of the persistent storage media to the agent based on the set of requirements, and configure at least one of the dedicated one or more banks of the persistent storage media at a program mode width which is narrower than a native maximum program mode width for the persistent storage media. Other embodiments are disclosed and claimed.

A method may include storing at least a portion of a metadata buffer of a persistent data structure in volatile memory, and storing at least a portion of a data buffer of the persistent data structure in persistent memory. A system may include a processor, a volatile memory coupled to the processor, and a persistent memory coupled to the processor. The processor may be configured to execute procedures including storing at least a portion of a metadata buffer of a persistent data structure in volatile memory, and storing at least a portion of a data buffer of the persistent data structure in persistent memory. A method may include storing at least a portion of a transient part of a persistent data structure in volatile memory, and storing at least a portion of a persistent part of the persistent data structure in persistent memory.

The disclosed embodiments provide a system for processing scoring requests. During operation, the system matches an identifier for an entity in a scoring request to a cache entry in a score cache. Next, the system retrieves, from the cache entry, a previous value of a score generated by a machine learning model from previous values of features for the entity and a first encoded representation of the previous values of a subset of the features with greater than a threshold effect on the score. The system then compares the first encoded representation with a second encoded representation of the most recent values of the subset of the features for the entity. When the comparison indicates that the most recent values match the previous values, the system outputs the previous value of the score for the entity in a response to the scoring request.

The disclosed embodiments provide a system for processing scoring requests. During operation, the system matches an identifier for an entity in a scoring request to a cache entry in a score cache. Next, the system retrieves, from the cache entry, a previous value of a score generated by a machine learning model from previous values of features for the entity and a first encoded representation of the previous values of a subset of the features with greater than a threshold effect on the score. The system then compares the first encoded representation with a second encoded representation of the most recent values of the subset of the features for the entity. When the comparison indicates that the most recent values match the previous values, the system outputs the previous value of the score for the entity in a response to the scoring request.

A storage system includes a NAND storage media and a nonvolatile storage media as a write buffer for the NAND storage media. The write buffer is partitioned, where the partitions are to buffer write data based on a classification of a received write request. Write requests are placed in the write buffer partition with other write requests of the same classification. The partitions have a size at least equal to the size of an erase unit of the NAND storage media. The write buffer flushes a partition once it has an amount of write data equal to the size of the erase unit.

A technique for managing a storage system involves determining, in response to a first write operation on a first data block on a persistent storage device, whether a first group of data corresponding to the first data block is included in a cache; updating the first group of data in the cache if it is determined that the first group of data is included in the cache; and adding the first group of data to an associated data set of the cache to serve as a first record. Accordingly, such a technique can associatively manage different types of cached data corresponding to a data block, thereby optimizing the system performance.

A technique for managing a storage system involves determining, in response to a first write operation on a first data block on a persistent storage device, whether a first group of data corresponding to the first data block is included in a cache; updating the first group of data in the cache if it is determined that the first group of data is included in the cache; and adding the first group of data to an associated data set of the cache to serve as a first record. Accordingly, such a technique can associatively manage different types of cached data corresponding to a data block, thereby optimizing the system performance.