Abstract: Systems and methods are disclosed for scheduling component activation. A computer-implemented method may include: detecting a first status of a head-mounted device with one or more physical computer processors; after a first time interval since detecting the first status, disabling a Wi-Fi component of the head-mounted device for a second time interval with the one or more physical computer processors; and after the second time interval, activating the Wi-Fi component for a third time interval with the one or more physical computer processors.

Abstract: A system includes a first memory device of a first memory type, a second memory device of a second memory type, and a third memory device of a third memory type. The system further includes a processing device to retrieve one or more sections of data from the first memory device comprising a first memory type, and retrieve one or more remaining sections of data from the second memory device comprising a second memory type, wherein the one or more remaining sections of data from the second memory device are associated with the one or more sections of data from the first memory device. The processing device is further to combine the one or more sections of data from the first memory device comprising the first memory type with the one or more remaining sections of each of data from the second memory device comprising the second memory type into a contiguous page, and copy the contiguous page to a third memory device comprising a third memory type.

Abstract: A processing device in a memory system tracks a plurality of memory access operations directed to a plurality of segments of data on the memory device and maintains a plurality of access counters corresponding to the plurality of segments. The processing device sorts the plurality of segments based on values of the corresponding access counters and filters the plurality of segments to identify a subset of the plurality of segments for which the values of the corresponding access counters satisfy a threshold criterion. The processing device further generates a notification comprising an indication of the subset of the plurality of segments and provides the notification to a host system after the expiration of a periodic interval.

Abstract: 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.

Abstract: A memory system having memory components, a remote direct memory access (RDMA) network interface card (RNIC), and a host system, and configured to: allocate a page of virtual memory for an application; map the page of virtual memory to a page of physical memory in the memory components; instruct the RNIC to perform an RDMA operation; perform, during the RDMA operation, a data transfer between the page of physical memory in the plurality of memory components and a remote device that is connected via a computer network to the remote direct memory access network interface card; and at least for a duration of the data transfer, lock a mapping between the page of virtual memory and the page of physical memory in the memory components.

Abstract: A system includes a first memory component of a first memory type, a second memory component of a second memory type with a higher access latency than the first memory component, and a third memory component of a third memory type with a higher access latency than the first and second memory components. The system further includes a processing device to identify a section of a data page stored in the first memory component, and access patterns associated with the data page and the section of the data page. The processing device determines to cache the data page at the second memory component based on the access patterns, copying the section of the data page stored in the first memory component to the second memory component. The processing device then copies additional sections of the data page stored at the third memory component to the second memory component.

Abstract: A processing device, operatively coupled with one or more memory devices, is configured to provide a plurality of virtual memory controllers, partition one or more memory devices into a plurality of physical partitions, and associate each of the plurality of virtual memory controllers with one of the plurality of physical partitions. The processing device further provides a plurality of physical functions, wherein each of the plurality of physical functions corresponds to a different one of the plurality of virtual memory controllers, and presents the plurality of physical functions to a host computing system over a peripheral component interconnect express (PCIe) interface.

Abstract: Data blocks of a memory sub-system that have been accessed by a host system can be determined. An access pattern associated with the data blocks by the host system can be determined. A spatial characteristic for each respective pair of the data blocks of the memory sub-system can be received. A data graph can be generated with nodes that are based on the access pattern associated with the data blocks of the memory sub-system and edge values between the nodes that are based on the spatial characteristic for each respective pair of the data blocks of the memory sub-system.

Abstract: A memory system having memory components, a remote direct memory access (RDMA) network interface card (RNIC), and a host system, and configured to: allocate a page of virtual memory for an application; map the page of virtual memory to a page of physical memory in the memory components; instruct the RNIC to perform an RDMA operation; perform, during the RDMA operation, a data transfer between the page of physical memory in the plurality of memory components and a remote device that is connected via a computer network to the remote direct memory access network interface card; and at least for a duration of the data transfer, lock a mapping between the page of virtual memory and the page of physical memory in the memory components.

Abstract: A system controller, operatively coupled with one or more memory devices, is configured to provide a plurality of virtual memory controllers, wherein each of the plurality of virtual memory controllers is associated with a different portion of the one or more memory devices, and provide a plurality of physical functions, wherein each of the plurality of physical functions corresponds to a different one of the plurality of virtual memory controllers. The system controller further presents the plurality of physical functions to a host computing system over a peripheral component interconnect express (PCIe) interface, the host computing system to assign each of the plurality of physical functions to a different virtual machine running on the host computing system.

Abstract: A computing system having memory components, including first memory and second memory. The computing system further includes a processing device, operatively coupled with the memory components, to: receive, in a prediction engine, usage history of pages in the second memory; train a prediction model based on the usage history; predict, by the prediction engine using the prediction model, likelihood of the pages being used in a subsequent period of time; and responsive to the likelihood predicted by the prediction engine, copy by a controller data in a page in the second memory to the first memory.

Abstract: A memory system having one or more memory components and a controller. The controller can receive access requests from a communication connection. The access requests can identify data items associated with the access requests, addresses of the data items, and contexts of the data items in which the data items are used for the access requests. The controller can identify separate memory regions for separate contexts respectively, determine placements of the data items in the separate memory regions based on the contexts of the data items, and determine a mapping between the addresses of the data items and memory locations that are within the separate memory regions corresponding to the contexts of the data items. The memory system stores store the data items at the memory locations separated by different memory regions according to different contexts.

Abstract: A processing device in a host system monitors a data temperature of a plurality of memory pages stored in a host-addressable region of a cache memory component operatively coupled with the host system. The processing device determines that a first memory page of the plurality of memory pages satisfies a first threshold criterion pertaining to the data temperature of the first memory page and sends a first migration command indicating the first memory page to a direct memory access (DMA) engine executing on a memory-mapped storage component operatively coupled with the cache memory component and with the memory-mapped storage component via a peripheral component interconnect express (PCIe) bus. The first migration command causes the DMA engine to initiate a first DMA transfer of the first memory page from the cache memory component to a host-addressable region of the memory-mapped storage component.

Abstract: Data blocks of a memory sub-system that have been accessed by a host system can be determined. An access pattern associated with the data blocks by the host system can be determined. A spatial characteristic for each respective pair of the data blocks of the memory sub-system can be received. A data graph can be generated with nodes that are based on the access pattern associated with the data blocks of the memory sub-system and edge values between the nodes that are based on the spatial characteristic for each respective pair of the data blocks of the memory sub-system.

Abstract: A memory system having one or more memory components and a controller. The controller can receive access requests from a communication connection. The access requests can identify data items associated with the access requests, addresses of the data items, and contexts of the data items in which the data items are used for the access requests. The controller can identify separate memory regions for separate contexts respectively, determine placements of the data items in the separate memory regions based on the contexts of the data items, and determine a mapping between the addresses of the data items and memory locations that are within the separate memory regions corresponding to the contexts of the data items. The memory system stores store the data items at the memory locations separated by different memory regions according to different contexts.

Abstract: A computing system having memory components, including first memory and second memory. The computing system further includes a processing device, operatively coupled with the memory components, to: receive, in a prediction engine, usage history of pages in the second memory; train a prediction model based on the usage history; predict, by the prediction engine using the prediction model, likelihood of the pages being used in a subsequent period of time; and responsive to the likelihood predicted by the prediction engine, copy by a controller data in a page in the second memory to the first memory.

Abstract: Systems and methods are disclosed for scheduling component activation. A computer-implemented method may include: detecting a first status of a head-mounted device with one or more physical computer processors; after a first time interval since detecting the first status, disabling a Wi-Fi component of the head-mounted device for a second time interval with the one or more physical computer processors; and after the second time interval, activating the Wi-Fi component for a third time interval with the one or more physical computer processors.

Abstract: A computing system having memory components of different tiers. The computing system further includes a controller, operatively coupled between a processing device and the memory components, to: receive from the processing device first data access requests that cause first data movements across the tiers in the memory components; service the first data access requests after the first data movements; predict, by applying data usage information received from the processing device in a prediction model trained via machine learning, second data movements across the tiers in the memory components; and perform the second data movements before receiving second data access requests, where the second data movements reduce third data movements across the tiers caused by the second data access requests.

Abstract: A computing system having memory components, including first memory and second memory. The computing system further includes a processing device, operatively coupled with the memory components, to: store a memory allocation value in association with a context of executing instructions; execute a set of instructions in the context; allocate, for execution of the set of instructions in the context, an amount of memory, including an amount of the first memory and an amount of the second memory; and access the amount of the second memory via the amount of the first memory during the execution of the set of instructions in the context.

Abstract: A computing system having memory components of different tiers. The computing system further includes a controller, operatively coupled between a processing device and the memory components, to: receive from the processing device first data access requests that cause first data movements across the tiers in the memory components; service the first data access requests after the first data movements; predict, by applying data usage information received from the processing device in a prediction model trained via machine learning, second data movements across the tiers in the memory components; and perform the second data movements before receiving second data access requests, where the second data movements reduce third data movements across the tiers caused by the second data access requests.