A data access system including a processor and a storage system including a main memory and a cache module. The cache module includes a FLC controller and a cache. The cache is configured as a FLC to be accessed prior to accessing the main memory. The processor is coupled to levels of cache separate from the FLC. The processor generates, in response to data required by the processor not being in the levels of cache, a physical address corresponding to a physical location in the storage system. The FLC controller generates a virtual address based on the physical address. The virtual address corresponds to a physical location within the FLC or the main memory. The cache module causes, in response to the virtual address not corresponding to the physical location within the FLC, the data required by the processor to be retrieved from the main 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.

Techniques are provided for operating a memory package and more specifically to increasing bandwidth of a system having stacked memory. In an example, a system can include a storage device having a first type of volatile memory and a second type of volatile memory, and a host device coupled to the storage device. The host device can issue commands to the storage device to store and retrieve information of the system. The host device can include a memory map of the storage device and latency information associated with each command of the commands. The host can sort and schedule pending commands according to the latency information and can intermix commands for the first type of volatile memory and commands for the second type of volatile memory to maintain a high utilization or efficiency of a data interface between the host device and the storage device.

Techniques are described herein for prediction of an buffer pool size (BPS). Before performing BPS prediction, gathered data are used to determine whether a target workload is in a steady state. Historical utilization data gathered while the workload is in a steady state are used to predict object-specific BPS components for database objects, accessed by the target workload, that are identified for BPS analysis based on shares of the total disk I/O requests, for the workload, that are attributed to the respective objects. Preference of analysis is given to objects that are associated with larger shares of disk I/O activity. An object-specific BPS component is determined based on a coverage function that returns a percentage of the database object size (on disk) that should be available in the buffer pool for that database object. The percentage is determined using either a heuristic-based or a machine learning-based approach.

A processor may boot a system. The processor may determine a type of operation of data based on an application tag. The processor may analyze at least one specific table for the application tag. The processor may perform an operation associated with the application tag.

An apparatus and method is provided, the apparatus comprising a processor pipeline to execute instructions, a cache structure to store information for reference by the processor pipeline when executing said instructions; and prefetch circuitry to issue prefetch requests to the cache structure to cause the cache structure to prefetch information into the cache structure in anticipation of a demand request for that information being issued to the cache structure by the processor pipeline. The processor pipeline is arranged to issue a trigger to the prefetch circuitry on detection of a given event that will result in a reduced level of demand requests being issued by the processor pipeline, and the prefetch circuitry is configured to control issuing of prefetch requests in dependence on reception of the trigger.

The invention discloses a data structure-aware prefetching method and device on a graphics processing unit. The method comprises the steps of acquiring information for a memory access request in which a monitoring processor checks a graph data structure and read data, using a data structure access mode defined by a breadth first search and graph data structure information to generate four corresponding vector prefetching requests and store into a prefetching request queue. The device comprises a data prefetching unit distributed into each processing unit, each data prefetching unit is respectively connected with an memory access monitor, a response FIFO and a primary cache of a load/store unit, and comprises an address space classifier, a runtime information table, prefetching request generation units and the prefetching request queue. According to the present invention, data required by graph traversal can be prefetched more accurately and efficiently using the breadth first search, thereby improving the performance of GPU to solve a graph computation problem.

A data processing system includes a store datapath configured to perform tag checking in a store operation to a store address associated with a cache line in a memory. The store datapath includes a cache lookup circuit configured to pre-load a store cache line that is to be updated in the store operation, wherein the store cache line comprises the cache line in the memory to be updated in the store operation. The store datapath also includes a tag check circuit configured to compare a store address tag associated with the store address to a store operation tag associated with the store operation. The data processing system may include a load datapath configured to perform tag checking in a load operation from a load cache line in the memory by comparing a load address tag associated with the load address to a load operation tag associated with the load operation.

Disclosed embodiments provide a technique in which a memory controller determines whether a fetch address is a miss in an L1 cache and, when a miss occurs, allocates a way of the L1 cache, determines whether the allocated way matches a scoreboard entry of pending service requests, and, when such a match is found, determine whether a request address of the matching scoreboard entry matches the fetch address. When the matching scoreboard entry also has a request address matching the fetch address, the scoreboard entry is modified to a demand request.

Methods, systems, and devices supporting techniques for pre-fetching information using pattern detection are described. Some memory systems may support pre-fetching information, such as logical-to-physical (L2P) mapping tables, data, or both, if a sequential pattern of read commands is detected. In some examples, the memory system may store a list of logical addresses indicated by received read commands and may determine whether the list corresponds to a sequential pattern independent of intervening write-alike commands. The list may store previous logical addresses for read commands, allowing the memory system to determine whether subsequent read commands form a sequential pattern. Additionally or alternatively, the memory system may track a ratio of hibernate commands to other commands (e.g., sequential read commands) and may refrain from pre-fetching L2P mapping tables for a detected sequence if the tracked ratio satisfies (e.g., exceeds) a threshold ratio.