Abstract: Methods, apparatus, systems, and articles of manufacture to perform a pseudo-S3 protocol to update firmware and/or activate new firmware with a warm reset are disclosed. An example apparatus includes an advanced configuration and power interface (ACPI) to: initiate a pseudo-sleep event in response to identifying a firmware update; and assert a power button event, the power button event to cause an operating system (OS) to prepare to enter into a sleep state; a basic input/output system (BIOS) to: initiate a warm reset in response to the OS preparing to enter the sleep state, the warm reset to update firmware according to the firmware update; and transmit a wake vector to the OS to continue operation.

Abstract: Techniques are disclosed for providing backup protection. A first subnet is established for replication in a first cluster that includes a plurality of host devices. Each of the host devices includes a respective controller virtual machine, which together form a virtual local area network for replication. Each of the controller virtual machines is assigned an Ethernet interface. A replication Internet Protocol address is assigned to each of the Ethernet interfaces of the controller virtual machines. Route tables and firewall rules of the controller virtual machines are modified to allow communications between nodes of the first subnet. The first subnet is configured with information related to a second subnet for replication in a second cluster. A dedicated communication channel is generated for replication between the first cluster and the second cluster based on the configuring.

Abstract: A controller of a processor core may select telemetry data generated by a plurality of sensors of the processor core at a first time interval of a plurality of time intervals. The controller may transform the telemetry data based at least in part on a model. The controller may detect a change at the first time interval based on the transformed telemetry data. The controller may determine an event based on the change. The controller may initiate an action during the first time interval based on the event.

Abstract: The present disclosure describes systems and methods that apply artificial intelligence to augmented reality for enhanced user experience. A sensor, such as a camera, on a mobile phone can capture output data of a laptop computer or other computing device, such as a user interface. The captured image can be assessed by the mobile phone to determine an intent of a user and to display a three dimensional rendering, such as an avatar, on the mobile phone overlaid on top of the user interface of the laptop. The avatar can help navigate the user, such as pointing to areas of a webpage of interest, or inviting the user to scroll down on a webpage to a portion of the webpage that may not be in current view.

Abstract: Systems, apparatuses and methods may provide for technology that stores first hardware related data to a basic input output system (BIOS) memory area and generates a mailbox data structure, wherein the mailbox data structure includes a first identifier-pointer pair associated with the first hardware related data. Additionally, the technology may generate an operating system (OS) interface table, wherein the OS interface table includes a pointer to the mailbox data structure. In one example, the technology also stores second hardware related data to the BIOS memory area at runtime and adds a second identifier-pointer pair to the mailbox data structure at runtime, wherein the second identifier-pointer pair is associated with the second hardware related data.

Abstract: Methods, apparatus, systems, and articles of manufacture to perform a pseudo-S3 protocol to update firmware and/or activate new firmware with a warm reset are disclosed. An example apparatus includes an advanced configuration and power interface (ACPI) to: initiate a pseudo-sleep event in response to identifying a firmware update; and assert a power button event, the power button event to cause an operating system (OS) to prepare to enter into a sleep state; a basic input/output system (BIOS) to: initiate a warm reset in response to the OS preparing to enter the sleep state, the warm reset to update firmware according to the firmware update; and transmit a wake vector to the OS to continue operation.

Abstract: Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.

Abstract: The present disclosure discloses an arm mechanism (100) for docking an unmanned aerial vehicle (200), to a structure for conducting non-destructive testing. The arm mechanism (100) comprises a bracket (101), which is connected to a body (201) of the unmanned aerial vehicle (200). Further, the arm mechanism (100) comprises a pair of members (M) positioned in the bracket (101), and each of the pair of members (M) are configured to rotate relative to movement of a driving unit (D). Furthermore, the arm mechanism (100) comprises at least one arm (104), which is coupled to each of the pair of members (M). Actuation of the driving unit (D), drives each of the pair of members (M) to angularly displace each of the at least one arm (104), to facilitate adjustment of arms (104) for docking the unmanned aerial vehicle (200) to different geometrical structures for conducting non-destructive testing.

Abstract: Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.

Abstract: Technologies for enhanced network discovery and configuration include a network with a fabric manager and multiple network devices. A network device requests platform information from a management controller and receives the platform information via a sideband interface. The network device broadcasts a discovery message indicative of the platform information on a link layer network. The fabric manager discovers the network topology with an enhanced link layer discovery protocol and creates a vPOD in the network. The vPOD includes an application network with multiple racks. The fabric manager creates a tagged network domain for the vPOD. The fabric manager sends an out-of-band configuration command to the network device with a tag associated with the vPOD. After receiving the out-of-band configuration command, the network device receives a packet, compares domain metadata of the packet to the tag received from the fabric manager, and routes the packet. Other embodiments are described and claimed.

Abstract: Techniques are disclosed for providing backup protection. A first subnet is established for replication in a first cluster that includes a plurality of host devices. Each of the host devices includes a respective controller virtual machine, which together form a virtual local area network for replication. Each of the controller virtual machines is assigned an Ethernet interface. A replication Internet Protocol address is assigned to each of the Ethernet interfaces of the controller virtual machines. Route tables and firewall rules of the controller virtual machines are modified to allow communications between nodes of the first subnet. The first subnet is configured with information related to a second subnet for replication in a second cluster. A dedicated communication channel is generated for replication between the first cluster and the second cluster based on the configuring.

Abstract: A method of reestablishing a communication session between a first computing device and a second computing device includes, at the first computing device: obtaining initiator status data, indicating whether the first computing device initiated the communication session; configuring a redial indicator according to the initiator status data; and presenting the redial indicator on a display of the first mobile computing device during the communication session.

Abstract: Techniques are disclosed for providing backup protection. A first subnet is established for replication in a first cluster that includes a plurality of host devices. Each of the host devices includes a respective controller virtual machine, which together form a virtual local area network for replication. Each of the controller virtual machines is assigned an Ethernet interface. A replication Internet Protocol address is assigned to each of the Ethernet interfaces of the controller virtual machines. Route tables and firewall rules of the controller virtual machines are modified to allow communications between nodes of the first subnet. The first subnet is configured with information related to a second subnet for replication in a second cluster. A dedicated communication channel is generated for replication between the first cluster and the second cluster based on the configuring.

Abstract: The present disclosure describes systems and methods that apply artificial intelligence to augmented reality for enhanced user experience. A sensor, such as a camera, on a mobile phone can capture output data of a laptop computer or other computing device, such as a user interface. The captured image can be assessed by the mobile phone to determine an intent of a user and to display a three dimensional rendering, such as an avatar, on the mobile phone overlaid on top of the user interface of the laptop. The avatar can help navigate the user, such as pointing to areas of a webpage of interest, or inviting the user to scroll down on a webpage to a portion of the webpage that may not be in current view.

Abstract: Mechanisms for Field Programmable Gate Array (FPGA) chaining and unified FPGA views to a composed system hosts and associated methods, apparatus, systems and software A rack is populated with pooled system drawers including pooled compute drawers and pooled FPGA drawers communicatively coupled via input-output (IO) cables. The FPGA resources in the pooled system drawers are enumerated, identifying a location of type of each FPGA and whether it is a chainable FPGA. Intra-drawer chaining mechanisms are identified for the chainable FPGAs in each pooled compute and pooled FPGA drawer. Inter-drawer chaining mechanism are also identified for chaining FPGAs in separate pooled system drawers. The enumerated FPGA and chaining mechanism data is aggregated to generate a unified system view of the FPGA resources and their chaining mechanisms. Based on available compute nodes and FPGAs in the unified system view, new compute nodes are composed using chained FPGAs.

Abstract: Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a first set of compute nodes and a second set of compute nodes, wherein the first set of compute nodes execute more slowly than the second set of compute nodes. The technology may also automatically determine a compute node configuration that results in a relatively low difference in completion time between the first set of compute nodes and the second set of compute nodes with respect to a neural network workload. In an example, the technology applies the compute node configuration to an execution of the neural network workload on one or more nodes in the first set of compute nodes and one or more nodes in the second set of compute nodes.

Abstract: Technologies for enhanced network discovery and configuration include a network with a fabric manager and multiple network devices. A network device requests platform information from a management controller and receives the platform information via a sideband interface. The network device broadcasts a discovery message indicative of the platform information on a link layer network. The fabric manager discovers the network topology with an enhanced link layer discovery protocol and creates a vPOD in the network. The vPOD includes an application network with multiple racks. The fabric manager creates a tagged network domain for the vPOD. The fabric manager sends an out-of-band configuration command to the network device with a tag associated with the vPOD. After receiving the out-of-band configuration command, the network device receives a packet, compares domain metadata of the packet to the tag received from the fabric manager, and routes the packet. Other embodiments are described and claimed.

Abstract: Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.

Abstract: Mechanisms for Field Programmable Gate Array (FPGA) chaining and unified FPGA views to a composed system hosts and associated methods, apparatus, systems and software A rack is populated with pooled system drawers including pooled compute drawers and pooled FPGA drawers communicatively coupled via input-output (IO) cables. The FPGA resources in the pooled system drawers are enumerated, identifying a location of type of each FPGA and whether it is a chainable FPGA. Intra-drawer chaining mechanisms are identified for the chainable FPGAs in each pooled compute and pooled FPGA drawer. Inter-drawer chaining mechanism are also identified for chaining FPGAs in separate pooled system drawers. The enumerated FPGA and chaining mechanism data is aggregated to generate a unified system view of the FPGA resources and their chaining mechanisms. Based on available compute nodes and FPGAs in the unified system view, new compute nodes are composed using chained FPGAs.