Abstract: The present invention relates to an ultrasound beam quality test apparatus and methods of use. In this regard, fetal heart rate (FHR) transducer is placed for test and interconnected with fetal monitors. Phantoms of different heights can be placed on the FHR transducer. A computer system includes a beam control circuit. A plurality of hydrophone piezo-electric crystal (PZT) discs are placed on top of the phantom and interconnected with the beam control circuit. The computer system analyzes the ultrasound beam quality, of the FHR transducer, as it passes through the phantom. The beam control circuit can also control the oscillating motion of a metal plate to simulate a fetal heart beat by way of a linear actuator. The FHR transducer registered heartbeat, by way of the fetal monitor, is then compared to the simulated fetal heart beat to determine if the FHR transducer is working correctly.

Abstract: A head-mounted device is provided that includes one or more cameras configured to acquire a raw video feed and one or more displays configured to present a passthrough video feed to a user. Generation of the passthrough video feed can involve processing the raw video feed using an image signal processor and auxiliary compute blocks. One or more of the auxiliary compute blocks can be bypassed in response to detecting one or more failures associated with the auxiliary compute blocks. Configured and operated in this way, the head-mounted device can fall back to a more reliable passthrough video feed without having to power cycle the head-mounted device when a failure occurs.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Methods, apparatus and articles of manufacture to implement frameworks for training of federated learning models are disclosed. Example apparatus disclosed herein are to cause transmission of a first query to a first worker node of a plurality of worker nodes, the first query based on constraints to train a machine learning model. Disclosed example apparatus are also to cause transmission of a second query to a second worker node of the plurality of worker nodes, the second query based on the constraints. Disclosed example apparatus are further to cause transmission of a third query to the first worker node based on comparison of a first score from the first worker node to a second score from the second worker node, the third query instructing the first worker node to train the machine learning model.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

Abstract: A method is described. The method includes performing the following with a storage end transaction agent within a storage sled of a rack mounted computing system: receiving a request to perform storage operations with one or more storage devices of the storage sled, the request specifying an all-or-nothing semantic for the storage operations; recognizing that all of the storage operations have successfully completed; after all of the storage operations have successfully completed, reporting to a CPU side transaction agent that sent the request that all of the storage operations have successfully completed.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a first namespace descriptor, a device memory descriptor, and a first request to execute a program on a logical volume that spans a plurality of physical drives, selects a first target drive from the plurality of physical drives based on the first namespace descriptor, and configures the first target drive to execute the program on first input data associated with the first namespace descriptor and write a first output of the program to a first memory region in an internal memory of the first target drive. In one example, the technology maps the device memory descriptor to the first memory region.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

Abstract: Technologies for fast distributed storage recovery include a distributed storage system that includes multiple controller nodes and multiple target nodes. Each controller node is coupled to a corresponding target node via a storage fabric. Each target node stores replica data. The system identifies a failed node and a corresponding node that was coupled to the failed node. If the failed node is a controller node, the corresponding node is a target node. If the failed node is a target node, the corresponding node is a controller node. The system instantiates a replacement node, adds the replacement node to the system, and couples the replacement node to the corresponding node. The system may direct a backup target node to copy replica data to the replacement target node via the storage fabric. Other embodiments are described and claimed.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: In one embodiment, a system comprises a host processor and a storage system. The storage system comprises one or more storage devices, and each storage device comprises a non-volatile memory and a compute offload controller. The non-volatile memory stores data, and the compute offload controller performs compute tasks on the data based on compute offload commands from the host processor.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

Abstract: Various systems and methods for implementing computational storage are described herein.

Abstract: Examples described herein relate to a network interface device comprising circuitry to receive an access request with a target logical block address (LBA) and based on a target media of the access request storing at least one object, translate the target LBA to an address and access content in the target media based on the address. In some examples, translate the target LBA to an address includes access a translation entry that maps the LBA to one or more of: a physical address or a virtual address. In some examples, translate the target LBA to an address comprises: request a software defined storage (SDS) stack to provide a translation of the LBA to one or more of: a physical address or a virtual address and store the translation into a mapping table for access by the circuitry. In some examples, at least one entry that maps the LBA to one or more of: a physical address or a virtual address is received before receipt of an access request.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Technologies for managing data object requests in a storage node cluster include a proxy computing node communicatively coupled to the cluster of storage nodes. The proxy computing node is configured to receive data object requests from a communicatively coupled client computing device and identify a plurality of storage nodes of the cluster at which the data object of the data object request is stored. The proxy computing node is further configured to determine which of the identified storage nodes from which to retrieve the stored data object and transmit a request for the data object. Additionally, the proxy computing node is configured to estimate a request completion time based on a service time and a wait time for each of the identified storage nodes, as well as identify which of the storage nodes to retrieve the stored data object from based on the estimated request completion times. Other embodiments are described and claimed.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

Abstract: Methods and apparatus for end-to-end data plane offloading for distributed storage using protocol hardware and Protocol Independent Switch Architecture (PISA) devices. Hardware-based data plane forwarding is implemented in compute and storage switches that comprise smart server switches running software executing in a kernel and user space. The compute switch is coupled to one or more compute servers/nodes and the storage server is coupled to one or more storage servers or storage arrays. The hardware-based data plane forwarding facilitates an end-to-end data plane between the computer server(s) and storage server(s)/array(s) that is offloaded to hardware. In one example the software comprises Ceph components used to implement control plane operations in connection with hardware offloaded data plane operations, and storage traffic employs the NVMe-oF protocol and the kernels include NVMe-oF modules. In one aspect the hardware-based data plane forwarding is implemented using programmable P4switch chips.

Abstract: A method performed by a networking switch in an object storage system. The method includes receiving a first packet from a network comprising an object ID and a data object. The method includes generating a replica for the data object. The method includes generating an object ID for the replica of the data object. The method includes determining a destination storage node for the replica of the data object. The method includes sending a second packet from the networking switch to the destination storage node. The second packet includes the object ID for the replica of the data object and the replica of the data object.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.