A hybrid drive and associated methods increase the rate at which data are transferred to a nonvolatile storage medium in the hybrid drive. By using a large nonvolatile solid state memory device as cache memory for a magnetic disk drive, a very large number of write commands can be cached and subsequently reordered and executed in an efficient manner. In addition, strategic selection and reordering of only a portion of the write commands stored in the nonvolatile solid state memory device increases efficiency of the reordering process.

This document describes profiling cache replacement. Profiling cache replacement is a technique for managing data migration between a main memory and a cache memory to improve overall system performance. Unlike conventional cache replacement techniques, profiling cache replacement employs a profiler to maintain counters that count memory requests for access to not only the pages maintained in the cache memory, but also the pages maintained in the main memory. Based on the information collected by the profiler (e.g., about memory access requests), a mover moves pages between the main and cache memories. By way of example, the mover can swap highly-requested pages of the main memory, such as a most-requested page of the main memory, with little-requested pages of the cache memory, such as a least-requested page of the cache memory. The mover can do so, for instance, when the counters indicate that the number of page access requests for highly-requested pages of the main memory is greater than the number of page access requests for little-requested pages of the cache memory. So as not to impede the operations of memory users (e.g., client applications), the mover performs the page swapping in the background. To do so, the mover is limited to swapping pages at predetermined time intervals, such as once every microsecond (μs).

Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

A network device includes at least one wireless communication device for transmitting data and/or for storing received data by energy received from a transmitting device by induction. The wireless communication device includes or is connected to an ID memory operable by the received energy, in which at least one UAID (unified address identification) can be stored, and which can be read out or (over)written by the wireless communication device. An operating memory is provided, in which an operating data of the network device, which is at least partially necessary for the operation of the network device, can be stored. A method for manufacturing the network device includes assembling the device, storing primary configuration data, generating secondary configuration data, storing the secondary configuration data in a central processing memory, and overwriting the primary configuration data in the network device with the secondary configuration data.

Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

A control device for a motor vehicle, the control device including at least two processor cores and a global memory, each processor core respectively including a local memory and each processor core being set up to access only its own local memory and being set up to access neither the local memories of the other processor cores nor the global memory, a coordination unit being set up to read in data from the global memory of the control device and to write it to the local memories of the individual processor cores, and to read in data from the local memories of the individual processor cores and to write it to the global memory and/or to the local memory of the other processor cores.

Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

A system on chip which is connected with a plurality of memory chips includes first and second processors, a first access window, a first linear remapper, and a memory controller. The first and second processors are configured to provide an address for using the plurality of memory chips. The first access window sets an area, accessed only by the first processor, from among address areas of one or more of the plurality of memory chips. The first linear remapper remaps an address received from the first processor. The memory controller performs a partial linear access operation with respect to the plurality of memory chips, based on an area set by the first access window and an address remapped by the first linear remapper.