Abstract: Methods, systems, and devices related to domain-based access in a memory device are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). The memory array may be organized according to domains, which may refer to various configurations or collections of access lines, and selections thereof, of different portions of the memory array. In various examples, a memory device may determine a plurality of domains for a received access command, or an order for accessing a plurality of domains for a received access command, or combinations thereof, based on an availability of the signal development cache.

Abstract: Methods, systems, and devices related to write broadcast operations associated with a memory device are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). The memory device may enable read broadcast operations. A read broadcast may occur from the memory array to multiple locations of the signal development cache, for example via one or more multiplexers.

Abstract: The disclosed embodiments relate to per-process configuration caches in storage devices.

Abstract: Systems and methods for performing a pattern matching operation in a memory device are disclosed. The memory device may include a controller and memory arrays where the memory arrays store different patterns along bit lines. An input pattern is applied to the memory array(s) to determine whether the pattern is stored in the memory device. Word lines may be activated in series or in parallel to search for patterns within the memory array. The memory array may include memory cells that store binary digits, discrete values or analog values.

Abstract: A memory module system with a global shared context. A memory module system can include a plurality of memory modules and at least one processor, which can implement the global shared context. The memory modules of the system can provide the global shared context at least in part by providing an address space shared between the modules and applications running on the modules. The address space sharing can be achieved by having logical addresses global to the modules, and each logical address can be associated with a certain physical address of a specific module.

Abstract: An example system implementing a processing-in-memory pipeline includes: a memory array to store data in a plurality of memory cells electrically coupled to a plurality of wordlines and a plurality of bitlines; a logic array coupled to the memory array, the logic array to implement configurable logic controlling the plurality of memory cells; and a control block coupled to the memory array and the logic array, the control block to control a computational pipeline to perform computations on the data by activating at least one of: one or more bitlines of the plurality of bitlines or one or more wordlines of the plurality of wordlines.

Abstract: Methods, systems, and devices related to multiplexed signal development in a memory device are described. In one example, an apparatus in accordance with the described techniques may include a set of memory cells, a sense amplifier, and a set of signal development components each associated with one or more memory cells of the set of memory cells. The apparatus may further include a selection component, such as a signal development component multiplexer, that is coupled with the set of signal development components. The selection component may be configured to selectively couple a selected signal development component of the set of signal development components with the sense amplifier, which may support examples of signal development during overlapping time intervals.

Abstract: Methods, systems, and devices for a magnetic cache for a memory device are described. Magnetic storage elements (e.g., magnetic memory cells, such as spin-transfer torque (STT) memory cells or magnetic tunnel junction (MTJ) memory cells) may be configured to act as a cache for a memory array, where the memory array includes a different type of memory cells. The magnetic storage elements may be inductively coupled to access lines for the memory array. Based on this inductive coupling, when a memory value is written to or read from a memory cell of the array, the memory value may concurrently be written to a magnetic storage element based on associated current through an access line used to write or read the memory cell. Subsequent read requests may be executed by reading the memory value from the magnetic storage element rather than from the memory cell of the array.

Abstract: An example system implementing a processing-in-memory pipeline includes: a memory array to store data in a plurality of memory cells electrically coupled to a plurality of wordlines and a plurality of bitlines; a logic array coupled to the memory array, the logic array to implement configurable logic controlling the plurality of memory cells; and a control block coupled to the memory array and the logic array, the control block to control a computational pipeline to perform computations on the data by activating at least one of: one or more bitlines of the plurality of bitlines or one or more wordlines of the plurality of wordlines.

Abstract: An example system implementing a processing-in-memory pipeline includes: a memory array to store a plurality of look-up tables (LUTs) and data comprising an input string; a logic array coupled to the memory array, the logic array to perform a set of logic operations on the data and the LUTs, the set of logic operations implementing a set of production rules of a context-free grammar to translate the input string into one or more symbols; and a control block coupled to the memory array and the logic array, the control block to control a computational pipeline by activating one or more LUTs of the plurality of LUTs, the computational pipeline implementing a parser evaluating the input string against the context-free grammar.

Abstract: Methods, systems, and devices related to data relocation via a cache are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). In some cases, the memory device may transfer data from a first address of the memory array to the signal development cache. The memory device may transfer the data stored in the signal development cache to a second address of the memory array based on a parameter associated with the first address of the memory array satisfying a criterion for performing data relocation.

Abstract: The present disclosure is directed to routing of data in a spiking neural network (SNN) that performs in-memory operations. To model a computer-implemented SNN after a biological neural network, the architecture in the present disclosure involves different memory sections for storing inbound spike messages, synaptic connection data, and synaptic connection parameters. Embodiments are directed to routing spike messages through various router-based topologies. For example, spike messages may be multicasted to target routers using address tables.

Abstract: The present disclosure is directed to search and match operations of a spiking neural network (SNN) that performs in-memory operations. To model a computer-implemented SNN after a biological neural network, the architecture in the present disclosure involves different memory sections for storing inbound spike messages, synaptic connection data, and synaptic connection parameters. The section of memory containing synaptic connection data to identify matching inbound spike messages. Various embodiments are directed to an efficient search and match operation performed in memory to determine targeted synaptic connections.

Abstract: Systems, methods and apparatuses to throttle network communications for memory as a service are described. For example, a computing device can borrow an amount of random access memory of the lender device over a communication connection between the lender device and the computing device. The computing device can allocate virtual memory to applications running in the computing device, and configure at least a portion of the virtual memory to be hosted on the amount of memory loaned by the lender device to the computing device. The computing device can throttle data communications used by memory regions in accessing the amount of memory over the communication connection according to the criticality levels of the contents stored in the memory regions.

Abstract: Systems, methods and apparatuses to intelligently migrate content involving borrowed memory are described. For example, after the prediction of a time period during which a network connection between computing devices having borrowed memory degrades, the computing devices can make a migration decision for content of a virtual memory address region, based at least in part on a predicted usage of content, a scheduled operation, a predicted operation, a battery level, etc. The migration decision can be made based on a memory usage history, a battery usage history, a location history, etc. using an artificial neural network; and the content migration can be performed by remapping virtual memory regions in the memory maps of the computing devices.

Abstract: A memory module having a plurality of memory chips, at least one controller (e.g., a central processing unit or special-purpose controller), and at least one interface device configured to communicate input and output data for the memory module. The input and output data bypasses at least one processor (e.g., a central processing unit) of a computing device in which the memory module is installed. And, the at least one interface device can be configured to communicate the input and output data to at least one other memory module in the computing device. Also, the memory module can be one module in a plurality of memory modules of a memory module system.

Abstract: Methods, systems, and devices for a magnetic cache for a memory device are described. Magnetic storage elements (e.g., magnetic memory cells, such as spin-transfer torque (STT) memory cells or magnetic tunnel junction (MTJ) memory cells) may be configured to act as a cache for a memory array, where the memory array includes a different type of memory cells. The magnetic storage elements may be inductively coupled to access lines for the memory array. Based on this inductive coupling, when a memory value is written to or read from a memory cell of the array, the memory value may concurrently be written to a magnetic storage element based on associated current through an access line used to write or read the memory cell. Subsequent read requests may be executed by reading the memory value from the magnetic storage element rather than from the memory cell of the array.

Abstract: Systems and methods for performing a pattern matching operation in a memory device are disclosed. The memory device may include a controller and memory arrays where the memory arrays store different patterns along bit lines. An input pattern is applied to the memory array(s) to determine whether the pattern is stored in the memory device. Word lines may be activated in series or in parallel to search for patterns within the memory array. The memory array may include memory cells that store binary digits, discrete values or analog values.

Abstract: Methods, systems, and devices related to signal development caching in a memory device are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). The memory device may also include a controller configured to determine whether data associated with an address of the memory array is stored in one or more cache blocks of the signal development cache. As an example, the memory device may determine whether the data is stored in one or more cache blocks of the signal development cache based on mapping information associated with the address of the memory array.

Abstract: The present disclosure is directed to pipelining operations of a spiking neural network (SNN) that performs in-memory operations. To model a computer-implemented SNN after a biological neural network, the architecture in the present disclosure involves different memory sections for storing inbound spike messages, synaptic connection data, and synaptic connection parameters (e.g., states). The section of memory containing synaptic connection data to identify matching inbound spike messages. In parallel, the section of memory containing synaptic connection parameters may be accessed to perform various neuromorphic calculations, synaptic plasticity and outbound spike message generation.