Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for logging real-time data of a robot control system.

Abstract: A method of identifying an unsupported storage device on a server is disclosed as including providing the server with a baseboard management controller (BMC), the BMC obtaining vital product data (VPD) from a storage device on the server, the BMC comparing the VPD from the storage device with one or more approved VPDs, and the BMC issuing an output in response to said comparison.

Abstract: A method is performed by a first server on a chip (SoC) node that is one instance of a plurality of nodes within a cluster of nodes. An operation is performed for determine if a second one of the SoC nodes in the cluster has data stored thereon corresponding to a data identifier in response to receiving a data retrieval request including the data identifier. An operation is performed for determining if a remote memory access channel exists between the SoC node and the second one of the SoC nodes. An operation is performed for access the data from the second one of the SoC nodes using the remote memory access channel after determine that the second one of the SoC nodes has the data stored thereon and that the remote memory access channel exists between the SoC node and the second one of the SoC nodes.

Abstract: A storage system and method for performing upgrade management are provided. A plurality of nodes in the storage systems are divided into groups. A scheduling node obtains a constraint condition of each group. The constraint condition comprises a maximum quantity of nodes in a corresponding group that are allowed to be upgraded in parallel. Nodes in a first batch for upgrading in parallel from the groups based on the constraint condition of each group are selected. An upgrade instruction is sent to the nodes in the first batch.

Abstract: A reconfigurable server includes improved bandwidth connection to adjacent servers and allows for improved access to near-memory storage and for an improved ability to provision resources for an adjacent server. The server includes processor array and a near-memory accelerator module that includes near-memory and the near-memory accelerator module helps provide sufficient bandwidth between the processor array and near-memory. A hardware plane module can be used to provide additional bandwidth and interconnectivity between adjacent servers and/or adjacent switches.

Abstract: A data processing system may include a plurality of memory modules, a controller, a power supply and a plurality of switches. Each of the memory modules may include a plurality of pages. The controller may control operations of the memory modules. The power supply may provide the memory modules with a power. The switches may be arranged corresponding to each of the memory modules. The switches may be selectively driven in response to a switch drive signal from the controller.

Abstract: A system for data protection includes a computing device comprising a processor, a Hardware Root of Trust (HRoT) module and a storage device. The HRoT device is configured to: validate integrity of the computing device; authenticate the computing device to communicate with the storage device; and take over control of storage device access and behaviour whenever suspicious or unauthorized data access from local or remote computing devices is detected. The HRoT device is further configured to, in response to detecting a security risk to at least one of the computing device and the storage device, block communication of the storage device.

Abstract: An apparatus and method are described for efficiently processing and reassigning interrupts. For example, one embodiment of an apparatus comprises: a plurality of cores; and an interrupt controller to group interrupts into a plurality of interrupt domains, each interrupt domain to have a set of one or more interrupts assigned thereto and to map the interrupts in the set to one or more of the plurality of cores.

Abstract: One or more kernel-modifying procedures are stored in a trusted computing base (TCB) when bringing up a guest operating system (OS) on a virtual machine (VM) on a virtualization platform. When the guest OS invokes an OS-level kernel-modifying procedure, a call is made to the hypervisor. If the hypervisor determines the TCB to be valid, the kernel-modifying procedure in the TCB that corresponds to the OS-level kernel-modifying procedure is invoked so that the kernel code can be modified.

Abstract: A transaction-based hybrid memory device includes a host memory controller to control operation of the device. A hybrid memory controller is coupled to the host memory controller over a memory bus. The hybrid memory controller includes non-volatile memory control logic to control operation of non-volatile memory devices and cache control logic to accelerate cache operations, a direct memory access (DMA) engine to control volatile cache memory and to transfer data between non-volatile memory, and cache memory to off load host cache managements and transactions. A host interface couples the host memory controller to the memory bus.

Abstract: Examples of systems and method described herein provide for the processing of image codes (e.g., a binary embedding) at a memory system including a Hamming processing unit. Such images codes may generated by various endpoint computing devices, such as Internet of Things (IoT) computing devices, Such devices can generate a Hamming processing request, having an image code of the image, to compare that representation of the image to other images (e.g., in an image dataset) to identify a match or a set of neural network results. Advantageously, examples described herein may be used in neural networks to facilitate the processing of datasets, so as to increase the rate and amount of processing of such datasets. For example, comparisons of image codes can be performed “closer” to the memory devices, e.g., at a processing unit having memory devices.

Abstract: During operation, the system receives, by a master node, a first I/O request with associated data, wherein the master node is in communication with a first plurality of storage drives via a switch based on a network protocol, wherein the master node and the first plurality of storage drives are allowed to reside in different cabinets, and wherein a respective collection of storage drives are coupled to a converter module, which is configured to convert data between the network protocol and an I/O protocol used to access the storage drives. The system identifies, by the master node, a first collection of storage drives from the first plurality on which to execute the first I/O request. The system executes, based on a communication via the switch and a converter module associated with the first collection of storage drives, the first I/O request on the first collection of storage drives.

Abstract: A RAID parity data generation offload system includes a RAID storage controller device that determines that a RAID parity data storage device loading for a RAID parity data storage device exceeds a loading threshold, and then generates and transmits a RAID parity data generation offload command associated with a RAID parity data update required in response to a RAID primary data update. A first RAID primary data storage device receives the RAID parity data generation offload command, and then retrieves current parity data from the RAID parity data storage device, and performs an XOR operation using the current parity data, current primary data, and updated primary data associated with the RAID primary data update in order to generate updated parity data. The first RAID primary data storage device then provides the updated parity data for storage on the RAID parity data storage device in place of the current parity data.

Abstract: A storage device includes an input stage receiving a first command, a queue manager allocating a first queue entry for the first command, a pre-processor storing the first command in the first queue entry and updating a task list with the first command and a core executing the first command in accordance with an order specified in the updated task list. At least one of the queue manager and the pre-processor is implemented in a customized logic circuit.

Abstract: Systems and methods are disclosed for broadcasting transactions, inside a network-on-chip (NoC), from a master to multiple slaves and for receiving responses. The transactions originate from a master and are send, using the NoC, to broadcast adapters using a special range of addresses. The broadcast adapters receive the transactions from the master. The broadcast adapters duplicate the transactions and send the duplicated transaction to multiple slaves. The slaves send a response, which is transported back by the NoC to the corresponding master.

Abstract: Facilitating monitoring of service processors associated with a data storage system is provided herein. A system can include a monitoring component and an interpretation component. The monitoring component monitors a service processor that controls one or more functions for a data storage system. The monitoring component also generates trend data indicative of trend information for the service processor. The interpretation component performs one or more actions associated with the data storage system in response to a determination that the trend data satisfies a set of defined criteria associated with monitored conditions for the data storage system.

Abstract: A memory system may include a plurality of memory dies configured to store data therein, and a controller coupled to the plurality of memory dies through a plurality of channels, and configured to correlate at least some of a plurality of read requests and transferring the plurality of read requests to the plurality of channels, such that the plurality of read requests are processed in an interleaving way through the plurality of channels, when controlling the plurality of memory dies for the plurality of read requests. The controller may determine whether to perform the correlation operation in response to the number of the plurality of read requests, wherein the plurality of read requests include a read request for an internal operation of the controller and a read request received from a host.

Abstract: Techniques are provided for artificial intelligence-based storage monitoring. In an example, a system determines structured and unstructured attributes of a folder in a file system and provides them to an trained artificial intelligence model that outputs whether the folder is interesting or not. The folders labelled interesting by the trained artificial intelligence model can be further refined to a subset of folders that are placed in a watch list, and monitored for changes.

Abstract: The present disclosure generally relate to dynamically changing predictive latency related attributes to increase the deterministic window (DTWIN) of operation. The host device workload characteristics as well as the memory device's current condition provide valuable information for the duration of the DTWIN. If the memory device is near the end of life, then the DTWIN duration will be smaller. Additionally, if the workload from the host device is heavy, then the DTWIN duration will also be smaller. Rather than utilizing a fixed DTWIN duration based upon worst case scenarios for host device workload and memory device condition, dynamically adjusting the DTWIN duration based upon the workload and condition will provide a DTWIN duration that can gradually decrease over time from a much longer DTWIN duration than is currently available.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, relating to multi-task recurrent neural networks. One of the methods includes maintaining data specifying, for a recurrent neural network, a separate internal state for each of a plurality of memory regions; receiving a current input; identifying a particular memory region of the memory access address defined by the current input; selecting, from the internal states specified in the maintained data, the internal state for the particular memory region; processing, in accordance with the selected internal state for the particular memory region, the current input in the sequence of inputs using the recurrent neural network to: generate an output, the output defining a probability distribution of a predicted memory access address, and update the selected internal state of the particular memory region; and associating the updated selected internal state with the particular memory region in the maintained data.