Abstract: An apparatus is described. The apparatus includes a memory module. The memory module includes a memory. The memory module includes function execution circuitry. The function execution circuitry is configurable to execute a producer function and a consumer function of a multi-function process. The memory module includes an interface to be coupled to a memory controller.

Abstract: The present invention is directed towards a process of RT-PCR based diagnosis of SARS-CoV2 and other related respiratory viruses without storing and transporting the naso-pharyngeal and oro-pharyngeal swabs in Viral Testing Media directly after extracting the viral particles from the swabs in a suitable buffer, and using these extracts directly, without involving any steps of RNA isolation/extraction, for RT-PCR based diagnosis of SARS-CoV2. The present invention is also directed towards kits for time and cost-efficient diagnosis of SARS-CoV2 and other related respiratory viruses at efficacies matching or better than the efficacies of the gold-standard RT-PCR method starting from VTM transported swabs for diagnosing the same. The present invention also directs to variant process wherein the viral particles eluted in suitable buffers are further subjected to the conventional steps of RNA extraction before qRT-PCR.

Abstract: Methods, apparatus and systems for adaptive fabric allocation for local and remote emerging memories-based prediction schemes. In conjunction with performing memory transfers between a compute host and memory device connected via one or more interconnect segments, memory read and write traffic is monitored for at least one interconnect segment having reconfigurable upstream lanes and downstream lanes. Predictions of expected read and write bandwidths for the at least one interconnect segment are then made. Based on the expected read and write bandwidths, the upstream lanes and downstream lanes are dynamically reconfigured. The interconnect segments include interconnect links such as Compute Exchange Link (CXL) flex buses and memory channels for local memory implementations, and fabric links for remote memory implementations. For local memory, management messages may be used to provide telemetry information containing the expected read and write bandwidths.

Abstract: An apparatus comprising first circuitry to process a request generated by a first device, the request specifying a memory address range of a second device to monitor for errors; and second circuitry to, based on a determination that a read request targets the memory address range of the second device, compare first data read from the second device with second data read from a memory to determine whether an error has occurred.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. These systems and methods can use a neural network based predictor, that has been trained to determine a temperature rise across an entire IC. The training of the predictor can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC), each template associated with location parameters to position the template in the IC; performing thermal simulations for each respective template of the IC, each thermal simulation determining an output based on a power pattern of tiles of the respective template, the output indicating a change in temperature of a center tile of the respective template relative to a base temperature of the integrated circuit; and training a neural network.

Abstract: A method includes obtaining data associated with a volatile storage device and a non-volatile storage device of an information handling system during a normal mode of operation of the information handling system, and calculating a first data transfer frequency and a first transfer data size from the volatile storage device to the non-volatile storage device based on the data associated with the volatile storage device and the non-volatile storage device during the normal mode of operation of the information handling system. The method also includes detecting an event indicating a power outage of the information handling system, and in response to the detecting the event, determining a data management policy to be applied to the information handling system during the safe mode of operation of the information handling system.

Abstract: Technologies for providing efficient migration of services include a server device. The server device includes compute engine circuitry to execute a set of services on behalf of a terminal device and migration accelerator circuitry. The migration accelerator circuitry is to determine whether execution of the services is to be migrated from an edge station in which the present server device is located to a second edge station in which a second server device is located, determine a prioritization of the services executed by the server device, and send, in response to a determination that the services are to be migrated and as a function of the determined prioritization, data utilized by each service to the second server device of the second edge station to migrate the services. Other embodiments are also described and claimed.

Abstract: An authentication system supports multi-factor authentication (MFA) when authenticating the identity of a user. A challenge-response portion of the authentication process is delegated to an MFA device—a secondary device within control of the user, but separate from the primary login device that the user is using when initiating the authentication. Communications between the MFA device and the login device are conducted using a short-range wireless communication protocol (e.g., Bluetooth™ or NFC), so that the two devices must be in close physical proximity to each other.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. The methods can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC); performing a thermal simulation for each respective template of the IC based on a sequence of power patterns of tiles of the respective template; and training a neural network with a plurality of training data collected via thermal simulations performed for the templates of the IC. These systems and methods can use a machine learning predictor, that has been trained to determine a transient temperature rise across an entire IC, and then append the determined transient temperature rise to a system level thermal profile of the IC.

Abstract: An apparatus and/or system is described including a memory device including a memory range and a temporal data management unit (TDMU) coupled to the memory device to receive from an interface, the memory range and a temporal range corresponding to validity of data in the memory range, check the temporal range against a time and/or date value provided by a timer or clock to identify the data in the memory range as expired, and invalidate the data that is expired in the memory device. In some embodiments, the TDMU includes hardware logic that resides on a memory module with the memory device and is coupled to invalidate expired data when the memory module is decoupled from the interface. Other embodiments may be disclosed and claimed.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed. An example apparatus disclosed herein is to determine whether to drop a data packet of a data stream or forward the data packet based on (a) a payload of the data packet and (b) historic information associated with the data stream. The example apparatus is also to operate on the data packet based on the determination.

Abstract: Examples described herein relate to allocation of an amount of memory for a time duration based on receipt of a request to allocate an amount of memory for a time duration. The request can include a configuration that requests an allocation of the amount of memory and the configuration specifies a time tier and/or the time duration. The request can specify one or more of: a request identifier, the amount of memory to allocate, or a requested time duration to reserve the amount of memory.

Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic Application Programming Interface (API) contract generation and conversion. In an example, a first call by a first microservice to a first API of a second microservice is intercepted by a first sidecar of the first microservice. The first API is of a first API type of multiple API types and is specified by a first contract. An API type of the multiple API types is selected by the first sidecar. Responsive to determining the selected API type differs from the first API type, based on the first contract, a second contract is generated by the first sidecar specifying a second API of the selected API type; and a second sidecar of the second microservice is caused to generate the second API and internally connect the second API to the first API based on the second contract.

Abstract: Technologies for providing dynamic selection of edge and local accelerator resources includes a device having circuitry to identify a function of an application to be accelerated, determine one or more properties of an accelerator resource available at the edge of a network where the device is located, and determine one or more properties of an accelerator resource available in the device. Additionally, the circuitry is to determine a set of acceleration selection factors associated with the function, wherein the acceleration factors are indicative of one or more objectives to be satisfied in the acceleration of the function. Further, the circuitry is to select, as a function of the one or more properties of the accelerator resource available at the edge, the one or more properties of the accelerator resource available in the device, and the acceleration selection factors, one or more of the accelerator resources to accelerate the function.

Abstract: Embodiments described herein are generally directed to intelligent management of microservices failover. In an example, responsive to an uncorrectable hardware error associated with a processing resource of a platform on which a task of a service is being performed by a primary microservice, a failover trigger is received by a failover service. A secondary microservice is identified by the failover service that is operating in lockstep mode with the primary microservice. The secondary microservice is caused by the failover service to takeover performance of the task in non-lockstep mode based on failover metadata persisted by the primary microservice. The primary microservice is caused by the failover service to be taken offline.

Abstract: Commissioning a fire system is described herein. One embodiment includes a non-transitory machine-readable medium having instructions stored thereon which, when executed by a processor, cause the processor to receive an indicator of a particular fire control panel of a fire system installed in a building, and provide an interface via a display for configuring a gateway device associated with the fire control panel responsive to receiving the indicator, the interface including a plurality of portions, wherein each portion is configured to receive a respective descriptor corresponding to the fire control panel.

Abstract: Various examples relate to apparatuses, devices, methods and computer programs for a group leader and a group member of a group of nodes of a blockchain network. The apparatus for the group leader comprises interface circuitry, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to manage a membership of nodes of the blockchain network in the group of nodes, perform or delegate blockchain-related computational activity on behalf of the group of nodes according to an energy criterion.

Abstract: Examples described herein relate to receiving a configuration, wherein the configuration is to specify a first level of renewable energy utilized by one or more devices based on telemetry, wherein the telemetry comprises a level of renewable energy supplied to the one or more devices. Based on a second level of available supplied renewable energy, a portion of the first level of available supplied renewable energy can be allocated to one or more devices to perform the process. Based on a third level of available supplied renewable energy, increase renewable energy allocated to the one or more devices, to perform the process, to above the first level.

Abstract: An apparatus to facilitate at-scale telemetry using interactive matrix for deterministic microservices performance is disclosed. The apparatus includes one or more processors to: receive user input comprising an objective or task corresponding to scheduling a microservice for a service, wherein the objective or task may include QoS, SLO, ML feedback; identify interaction matrix components in an interaction matrix that match the objective or tasks for the microservice; identify knowledgebase components in knowledgebase that match the objective or tasks for the microservice; and determine a scheduling operation for the microservice, the scheduling operation to deploy the microservice in a configuration that is in accordance with the objective or task, wherein the configuration comprises a set of hardware devices and microservice interaction points determined based on the interaction matrix components and the knowledgebase components.

Abstract: Examples relate to a computer system, a telemetry hub apparatus, a telemetry hub device, a telemetry hub method, a microservice apparatus, a microservice device, a microservice method and to corresponding computer programs. The telemetry apparatus is configured to obtain telemetry information from a plurality of microservices, and to provide access to the telemetry information for the plurality of microservices according to an access scheme.