A data transmission method and apparatus are provided. The data transmission method is applied to a computer system including at least two coprocessors, for example, including a first coprocessor and a second coprocessor. A shared memory is deployed between the first coprocessor and the second coprocessor, and is configured to store data generated when subtasks are separately executed. Further, the shared memory further stores a storage address of data generated when a subtask is executed, and a mapping relationship between each subtask and a coprocessor that executes the subtask. Therefore, a storage address of data to be read by the coprocessor may be found based on the mapping relationship, and the data may further be directly read from the shared memory without being copied by using a system bus. This improves efficiency of data transmission between the coprocessors.

Embodiments of apparatuses, methods, and systems for unified address translation for virtualization of input/output devices are described. In an embodiment, an apparatus includes first circuitry to use at least an identifier of a device to locate a context entry and second circuitry to use at least a process address space identifier (PASID) to locate a PASID-entry. The context entry is to include at least one of a page-table pointer to a page-table translation structure and a PASID. The PASID-entry is to include at least one of a first-level page-table pointer to a first-level translation structure and a second-level page-table pointer to a second-level translation structure. The PASID is to be supplied by the device. At least one of the apparatus, the context entry, and the PASID entry is to include one or more control fields to indicate whether the first-level page-table pointer or the second-level page-table pointer is to be used.

Methods, systems, and apparatuses provide support for multiple address spaces in order to facilitate data movement. One apparatus includes an input/output memory management unit (IOMMU) comprising: a plurality of memory-mapped input/output (MMIO) registers that map memory address spaces belonging to the IOMMU and at least a second IOMMU; and hardware control logic operative to: synchronize the plurality of MMIO registers of the at least the second IOMMU; receive, from a peripheral component endpoint coupled to the IOMMU, a direct memory access (DMA) request, the DMA request to a memory address space belonging to the at least the second IOMMU; access the plurality of MMIO registers of the IOMMU based on context data of the DMA request; and access, from the IOMMU, a function assigned to the memory address space belonging to the at least the second IOMMU based on the accessed plurality of MMIO registers.

A Near Memory Processing (NMP) dual in-line memory module (DIMM) for managing an address map is provided. The NMP DIMM includes: a static random-access memory (SRAM) provided on a Double Data Rate (DDR) interface; and an address management controller coupled to the SRAM, and configured to control the NMP DIMM to: receive a first indication from a host system to perform interface training for operating an SRAM space; perform the interface training using a first address map based on the first indication; receive a second indication from the host system indicating completion of the interface training for operating the SRAM space; switch from the first address map to a second address map for operating the SRAM space in response based on the second indication; and operate the SRAM space using the second address map.

A semiconductor device includes first and second CPUs, first and second SPUs for controlling a snoop operation, a controller supporting ASIL D of a functional safety standard and a memory. The controller sets permission of the snoop operation to the first and second SPUs when a software lock-step is not performed. The controller sets prohibition of the snoop operation to the first and second SPUs when the software lock-step is performed. The first CPU executes a first software for the software lock-step, and writes an execution result in a first area for the memory. The second CPU executes a second software for the software lock-step, and writes an execution result in a second area of the memory. The execution result written in the first area is compared with the execution result written in the second area.

Despite the increase of memory capacity and CPU computing power, memory performance remains the bottleneck of in-memory database management systems due to ever-increasing data volumes and application demands. Because the scale of data workloads has out-paced traditional CPU caches and memory bandwidth, one can improve data movement from memory to computing units to improve performance in in-memory database scenarios. A near-memory database accelerator framework offloads data-intensive database operations via or to a near-memory computation engine. The database accelerator's system architecture can include a database accelerator software module/driver and a memory module with a database accelerator engine. An application programming interface (API) can be provided to support database accelerator functionality. Memory of the database accelerator can be directly accessible by the CPU.

Methods, systems and computer program products are provided for managing protection domains (PDs) for files at a file-level or a page-level. PDs may be allocated for multiple purposes, e.g., to protect processes, files, buffers, etc. Files stored in nonvolatile memory (NVM) subject to direct access (DAX) may be protected by file-level or page-level PDs. PDs may comprise protection keys (PKEYs) with user-configurable read and write access control registers (PKRUs). NVM files may be protected from corruption (e.g. by stray writes) by leaving write access disabled except for temporary windows of time for valid writes. File PDs may be managed by a file manager while buffer PDs may be managed by a buffer pool manager. File associations between PDs, files and file address space may be maintained in a file object. Buffer associations between PDs, buffers and buffer address space may be maintained in a buffer descriptor.

A memory circuit for a print component including a plurality of I/O pads, including an analog pad, to connect to a plurality of signal paths which communicate operating signals to the print component. The memory circuit includes a controllable selector connected in line with one of the signal paths via the I/O pads, the selector controllable to disconnect the corresponding signal path to the print component, and a memory component to store memory values associated with the print component. A control circuit, in response to a sequence of operating signals received by the I/O pads representing a memory read, to operate the controllable selector to disconnect the signal path to the print component to block the memory read of the print component, and provide an analog signal to the analog pad to provide an analog electrical value at the analog pad representing stored memory values selected by the memory read.

A network processing device identifies a first request to access a line of memory in a remote memory resource and determines, based on the address of the line of memory, that the line of memory is associated with a sparse region in a memory pool. The address is provided as an input to a probabilistic data structure, where the probabilistic data structure is to generate a result to identify whether the line of memory includes a common data pattern. The network processing device returns the common data pattern as a response to the first request if the result of the probabilistic data structure indicates that the first line of memory includes the common data pattern.

A memory system includes a plurality of memory dies and a controller coupled with the plurality of memory dies via a plurality of channels. The controller is configured to perform a correlation operation on at least some read requests among a plurality of read requests inputted from an external device so that the plurality of memory dies outputs plural pieces of data corresponding to the plurality of read requests via the plurality of channels in an interleaving way. The controller is configured to determine when to perform the correlation operation based on the number of the plurality of read requests.