Abstract: An entropy value is generated for a data packet to be transmitted on a computing network. The entropy value is usable to select or change a network path for the data packet. In response to receiving an acknowledgement message for the data packet, the entropy value is saved in a storage structure if the entropy value is acknowledged as not congested. When transmitting an additional data packet, the oldest saved entropy from the storage structure is reused and the oldest saved entropy value is invalidated.

Abstract: The disclosed technology is generally directed to code transparency. In one example of the technology, raw input data that includes version information that is associated with code is received. The version information includes pull requests associated with the code. Extracted key phrases are provided by performing a key-phrase extraction on the raw input data. A list of documents and a list of people are determined based at least in part on the extracted key phrases. A relevance ranking is performed on the list of documents and the list of people. Based on the relevance ranking, relevant documents and relevant people are determined, such that the relevant documents and the relevant people are relevant to the code. To a developer environment that is associated with the code, information associated with the relevant documents and/or the relevant people is provided.

Abstract: The disclosed technology is generally directed to a personalized feed. In one example of the technology, selected key-value pairs from a profile associated with a user are provided. Based on a prompt that includes natural-language text instructions, the selected key-value pairs, and ranked content, a large language model is used to generate: pill prompts associated with the ranked content, such that the pill prompts are information requests that are unique and personalized to have particular relevance to the user based on selected key-value pairs, and a response to each pill prompt such that the response includes content corresponding to the requested information. A content feed is displayed to the user, including displaying selectable pills to the user as part of the displayed content feed such that each selectable pill includes a corresponding pill prompt. The response to the pill prompt that corresponds to the selection is displayed to the user.

Abstract: In accordance with examples of the present disclosure, a collaborative platform provides a digital collaboration assistant that continuously monitors and analyzes shared meeting contents (e.g., voice, text chat messages, shared links and documents, presentation materials, and the like) by participants during a collaborative meeting in near real-time, periodically updates a structure summary log of the meeting contents that are deemed important during the collaborative meeting, and interacts with the participants throughout the collaborative meeting in near real-time, for example, to answer questions or provide additional information.

Abstract: The techniques disclosed herein provide a set of tools that help event organizers better prepare for important events by facilitating features of rehearsal sessions. In some configurations, a system can create a rehearsal session in the process of setting up a meeting. Thus, if a meeting organizer is setting up a company all-hands meeting, the tools provide options that allow event organizers to setup multiple rehearsal sessions effortlessly in the event scheduling flow. The tools enable a system to perform tests that simulate event attendees. This allows an organizer to test specific user activity involving each users' experience in joining a meeting or performing common attendee behaviors like a virtual hand raise or a reaction. The system also provides intelligent technical checks that automatically test each presenter's device settings and displays real-time telemetry data to effectively communicate any performance issues to a meeting organizer.

Abstract: A device is equipped with a public/private key pair. The private key is stored in a secure location on the device and the public key is utilized to track ownership of the device by a manufacturer, vendor, and/or one or more provisioning services. When a user purchases the device, a transaction involving the public key associated with the device and the user is recorded. The one or more provisioning services, which are provided access to user information, prepare a configuration payload for the device specific to the user and the device. The configuration payload is encrypted using the device's public key. When the device is powered on, the configuration payload is sent to the device. The device decrypts the configuration payload using the device's private key and adjusts one or more configuration parameters based on the configuration payload.

Abstract: Embodiments of the present disclosure are directed to a network analytic system for tracking and analysis of network infrastructure for network-based digital assets. The network analytic system can detect and track a relationship between assets based on one or more attributes related or shared between any given assets. The network analytic system can analyze network-based digital assets to determine information about a website (e.g., information about electronic documents, such as web pages) that has be used to detect phishing and other abuse of the website. The network analytic system can analyze data about network-based assets to determine whether any are being used or connected to use of unauthorized or malicious activity or known network-based assets. Based on the relationship identified, the network analytic system can associate or link assets together. The network analytic system may provide an interface to view data sets generated by the network analytic system.

Abstract: Techniques for coding and deriving (e.g., determining) one or more coded-block-flags associated with video content are described herein. A coded-block-flag of a last node may be determined when coded-block-flags of preceding nodes are determined to be a particular value and when a predetermined condition is satisfied. In some instances, the predetermined condition may be satisfied when log2(size of current transform unit) is less than log2(size of maximum transform unit) or log2(size of current coding unit) is less than or equal to log2(size of maximum transform unit)+1. The preceding nodes may be nodes that precede the last node on a particular level in a residual tree.

Abstract: A clock monitor circuit detects departures from expected values for clock period, clock high time duration, or clock low time duration. A delay line of the clock monitor circuit is composed of delay portions of delay cells. Each delay cell also has a comparator portion with logic to compare aspects of the monitored clock signal to corresponding expected values, and to output a failure detection signal indicating whether the expected values are met. Expected values may be read from a fuse set. The delay of the delay line may be programmatically adjusted. The clock monitor circuit may be combined with a circuit that detects narrow glitches in the monitored clock signal. Devices and systems with one or more monitored clock signals, and methods of clock signal monitoring, are also described.

Abstract: Solutions for evaluating source code generators use offline and online evaluation stages. Offline evaluation includes separating each of a plurality of input passages of software code into a plurality of constituent blocks. Each code generator (of a plurality of code generators) generates an equivalent block corresponding to each constituent block. A coding score is determined for each equivalent block (for each code generator), and the coding scores are aggregated across the equivalent blocks to provide an aggregate score for each code generator. A ranking of the aggregate scores is used to down-select to a fewer number of code generators for online evaluation. For this stage, the code generators output passages of software code, and user acceptance of the code generators' outputs may be used for further ranking and down-selection. Some examples weight the coding score according to a code utility estimate of the constituent blocks for which equivalent blocks are generated.

Abstract: A service orchestrator receives a definition of a change to a network service to be deployed over a plurality of sites of a communications network. The definition comprises a configuration schema with a plurality of fields, which are partitioned into a plurality of different configuration group types. The service orchestrator receives an instance of the configuration group type. The service orchestrator receives conditional convergence logic specifying the received instance each site is to use conditional on a current state instance of the configuration group type used at the site. The service orchestrator sends instructions to each of the sites based on the conditional convergence logic, the instructions comprising the received instance. The instructions are configured to trigger a site convergence agent at each site to deploy the change to the network service according to the received instance of the configuration group type and the conditional convergence logic.

Abstract: Selectively controllable cleavable linkers include electrochemically-cleavable linkers, photolabile linkers, thermolabile linkers, chemically-labile linkers, and enzymatically-cleavable linkers. Selective cleavage of individual linkers may be controlled by changing local conditions. Local conditions may be changed by activating electrodes in proximity to the linkers, exposing the linkers to light, heating the linkers, or applying chemicals. Selective cleaving of enzymatically-cleavable linkers may be controlled by designing the sequences of different sets of the individual linkers to respond to different enzymes. Cleavable linkers may be used to attach polymers to a solid substrate. Selective cleavage of the linkers enables release of specific polymers from the solid substrate. Cleavable linkers may also be used to attach protecting groups to the ends of growing polymers. The protecting groups may be selectively removed by cleavage of the linkers to enable growth of specific polymers.

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums are described for authorizing publishing of a message and/or a subscription from an Internet of Things (IoT) device. In an example system, a message broker receives a list of attributes from a claims provider. The message broker determines whether publishing of the message is authorized based at least on the list of attributes, and publishes the message if it is determined that the publishing is authorized. The message broker may also receive a subscription specifying a topic filter. The message broker determines whether the subscription is authorized for the IoT device based at least on the list of attributes, and transmits a subscription message to the IoT device if it is determined that the subscription is authorized.

Abstract: A device and method for managing communication frequencies, including generating a geographical grid with a plurality of cells and allocating communication frequencies to the cells. Each of the communication frequencies is used for communication between a satellite and a ground device or ground IoT modem. A communication frequency allocated to one cell is different from the communication frequencies allocated to each of the immediately surrounding cells. A set of communication frequencies is selected for communication between the satellite and ground devices based on a ground track of the satellite. The selected set is transmitted to the satellite to communicate with the ground station located in a cell with the communication frequency allocated to that cell.

Abstract: Techniques for generating a temporally filtered image designed to compensate for global motions of a camera and to compensate for local motions of an object are disclosed. A history frame and a current frame are acquired. A global motion compensation operation is performed on the history frame to reproject a pose of the history frame to match the pose of the current frame. The history frame is compared against the current frame to identify pixels that represent moving objects. For each of those pixels, an optical flow vector is computed. The optical flow vectors are then applied to those pixels to shift those pixels to new locations. These new positions, which are in the history frame, correspond to positions that were identified in the current frame. Afterwards, the current frame is temporally filtered with the history frame.

Abstract: Embodiments of the present disclosure includes systems and methods for diagnosing and correcting deficiencies in operation of integrated circuits. A set of operational data of an integrated circuit is received by a network via a communication interface. A deficiency in operation of the integrated circuit is diagnosed based on the set of operational data. A correction is generated for improving operation of the integrated circuit based on the deficiency diagnosed. The correction is transmitted over the network via the communication interface to the integrated circuit.

Abstract: The present disclosure relates to methods and systems for searching and finding one or more tables that contain an answer to a query within documents. The methods and systems receive the query with query terms and search a table index for one or more related tables to the query terms. The methods and systems locate an answer to the query in the cells of the related tables and provide an output with the answer highlighted in the cells of the related tables in response to the query.

Abstract: A data processing system implements techniques for deploying software on a cloud-based computing environment. The techniques include receiving, from a first client device, a first request to deploy first software from a centralized software library of a cloud-based computing environment accessible by a plurality of tenants of the cloud-based computing environment, the first request including a location of the first software in the centralized library, authentication credentials for a first user, and deployment parameters indicating how the first software is to be deployed in the cloud-based computing environment; authenticating the first user to determine that the user is authorized to deploy the first software in the cloud-based computing environment; and deploying the first software from the centralized library of the cloud-based computing environment responsive to the first user being authorized to deploy the first software in the cloud-based computing environment.

Abstract: An intelligent assistant records speech spoken by a first user and determines a self-selection score for the first user. The intelligent assistant sends the self-selection score to another intelligent assistant, and receives a remote-selection score for the first user from the other intelligent assistant. The intelligent assistant compares the self-selection score to the remote-selection score. If the self-selection score is greater than the remote-selection score, the intelligent assistant responds to the first user and blocks subsequent responses to all other users until a disengagement metric of the first user exceeds a blocking threshold. If the self-selection score is less than the remote-selection score, the intelligent assistant does not respond to the first user.

Abstract: Techniques for selectively transforming one or more coding units when coding video content are described herein. The techniques may include determining whether or not to transform a particular coding unit. The determination may be based on a difference in pixel values of the particular coding unit and/or one or more predefined rate-distortion constraints. When it is determined to not perform a transform, the particular coding unit may be coded without transforming the particular coding unit.

Abstract: Techniques for implementing a last known good (LKG) client-side cache for DNS resiliency are disclosed. A first DNS request is submitted to a DNS server. A first DNS resolution that resolves an IP address for a domain name is received. A service stores the first DNS resolution in an LKG cache residing on the local host. A second DNS request is sent, where the second DNS request again requests to resolve the same domain name. In response to determining that a second DNS resolution for the second DNS request has not been received, the service obtains the IP address for the domain name from the LKG cache.

Abstract: Data from data sources may be processed at an edge device. The edge device may generate a local processing result, filter the data, and/or prioritize the data. Accordingly, data is transmitted from the edge device to the data platform, where it may be processed further. For example, a local processing result may be processed at the data platform, such that processing is performed without all of the data source data. In examples, at least a part of such data may remain at an edge device. The edge device may maintain a manifest of data stored by the edge device. The data platform may generate an aggregated manifest using manifests from associated edge devices, such that it may be determined where data is stored. As a result, the data platform may redirect requests to an associated edge device when it is determined that requested data is remote from the data platform.

Abstract: A system for facilitating ray trace operations with shared traversal performs a pre-test operation that includes testing one or more volumes against an acceleration structure associated with a virtual environment to identify a set of candidate nodes of the acceleration structure. The virtual environment comprises one or more virtual objects defined by one or more object components. The system also performs a ray trace operation based upon the set of candidate nodes of the acceleration structure.

Abstract: Techniques are described for managing secrets for accessing resources of a computing service provider by a client computing device. Two secrets are created that are valid for accessing the resource by the client computing device. When one of the two secrets are invalid for accessing the resource, the client computing device can use the second of the two secrets to gain access to the resource.

Abstract: Methods and systems are disclosed for sharing a content item from a secondary computing device to a primary computing device based on a tilt position of the secondary computing device. A sensor on the secondary computing device determines that the secondary computing device has a first tilt position that is associated with a non-sharing mode. The sensor senses that the secondary computing device is tilting from the first tilt position towards a second tilt position that is associated with a full sharing mode. In response, the content item is shared with the primary computing device. An amount of the content item that is shared continues to be increased as long as the sensor continues to sense that the secondary computing device is tilting. Once the secondary computing device has reached the second tilt position, the entire content item is shared with the primary computing device.

Abstract: Methods and computing devices for estimating a force F exerted on a touchpad are disclosed. In one example, a method comprises determining that the touchpad is not being touched. At least on condition of determining that the touchpad is not being touched, a no-touch capacitance value of the PCB is calculated. After calculating the no-touch capacitance value, the method includes determining that the touchpad is being touched. At least on condition that the touchpad is being touched, the no-touch capacitance value and a touch-based capacitance value are used to estimate the force F exerted on the touchpad.

Abstract: This document relates to automating detecting anomalies in network behavior of an application Generally, the disclosed techniques can obtain network flow data for an application. A machine learning model can be used to process the network flow data to detect anomalies. The machine learning model can be retrained over time to adapt to changing network behavior of the application. In some cases, a graph neural network is employed to detect the anomalies.

Abstract: A method of writing data to a transparent substrate comprises forming a first voxel by focusing a first laser pulse on a first location in a transparent substrate; and forming a second voxel by focusing a second laser pulse on a second location in the transparent substrate. The first laser pulse and the second laser pulse have different amplitudes, resulting in the first and second voxels having different strengths. Also provided are a system useful for implementing the method; an optical data storage medium obtainable by the method; and a method of reading data from the optical data storage medium.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: A method for a touch-sensitive display device includes detecting a first real-world movement of a stylus from a first surface position to a second surface position separated from the first surface position by a first real-world movement distance. The first real-world movement is translated into a first virtual movement from a first virtual input position to a second virtual input position using an absolute movement translation. Based on one or more movement translation context parameters, movement translation is switched from the absolute movement translation to a relative movement translation. A second real-world movement of the stylus is detected from the second surface position to a third surface position separated from the second surface position by a second real-world movement distance. The second real-world movement is translated into a corresponding second virtual movement from the second virtual input position to a third virtual input position using the relative movement translation.

Abstract: A technique executes a client machine-trained model (“client model”) on a client device. In operation, the client device submits a description of a task to be performed by the client device to a network-accessible main system. The main system uses a main-system machine-trained model (“main-system model”) to produce a task prompt based on the task description. The client device subsequently uses the task prompt to process queries pertaining to the task. The main-system is trained to increase the accuracy of responses produced by the client model, while reducing the sizes of task prompts produced by the main system. The training process is performed by holding weights of the client model constant.

Abstract: A microscope system includes a laser light source to emit illumination light toward an observation sample. A plurality of optical fibers are disposed along an optical path between the laser light source and the observation sample, such that each optical fiber of the plurality of optical fibers propagates illumination light toward the observation sample. Each optical fiber of the plurality of optical fibers is longer than a coherence length of the illumination light. A first optical fiber of the plurality of optical fibers has a first length that differs from a second length of a second optical fiber by at least the coherence length.

Abstract: Systems and methods for generating a small language model are provided. In particular, a computing device may obtain a general dataset including a plurality of general data, annotate a subset of the general dataset based on one or more classifier metrics indicative of a quality of the general dataset, train a classifier based on the annotated subset of the general dataset and the one or more classifier metrics, analyze each general data of the general dataset to determine a score for each of the one or more classifier metrics associated with the respective general data using the trained classifier, generate a filtered general dataset by filtering the general dataset based on one or more filters, train the small language model with the filtered general dataset, generate a synthetic dataset for refining the small language model, and train the small language model with the synthetic dataset.

Abstract: An immersion cooling system includes a catch pan, a heat-generating electronic device, a housing, and a fluid pump. The housing is positioned around the heat-generating electronic device, and at least part of the housing is positioned above the catch pan. The fluid pump is configured to circulate a working fluid from the catch pan to the housing.

Abstract: Generally discussed herein are devices, systems, and methods for improving cloud resource security. A method can include obtaining a cloud resource management log that details actions performed by users of cloud resources in a cloud portal, the actions including entries comprising at least two of a user identification (ID) of a user of the users, an operation of operations performed on the cloud resource, a uniform resource identifier (URI) of a cloud resource of the cloud resources that is a target of the operation, or a time the operation was performed. The method can include determining a respective score for each action in the cloud resource management log, comparing the respective score to a specified criterion, and providing an indication of anomalous action in response to determining the respective score satisfies the specified criterion.

Abstract: Techniques are disclosed for identifying faulty links in a virtualized computing environment. Network path latency information is received for one or more network paths in the networked computing environment. Based on the network path latency information, a probable presence of a faulty component is determined. In response to the determination, physical links for a network path associated with the probable faulty component are identified. Information indicative of likely sources of the probable faulty component is received from multiple hosts of the networked computing environment. Based on the identified physical links and information, a faulty component is determined.

Abstract: Embodiments are provided for building a configurable multilingual model. A computing system obtains a plurality of language-specific automatic speech recognition modules and a universal automatic speech recognition module trained on a multi-language training dataset comprising training data corresponding to each of the plurality of different languages. The computing system then compiles the universal automatic speech recognition module with the plurality of language-specific automatic speech recognition modules to generate a configurable multilingual model that is configured to selectively and dynamically utilize a sub-set of the plurality of language-specific automatic speech recognition modules with the universal automatic speech recognition module to process audio content in response to user input identifying one or more target languages associated with the audio content.

Abstract: A technique is described herein for temporally and spatially interpolating input video information, to produce output video information having a higher frame rate and a higher resolution compared to that exhibited by the input video information. The technique generates feature information based on plural frames of the input video information. The technique then produces the output video information based on the feature information using an architecture having, in order, a multi-stage encoding operation, a query-generating operation, and a multi-stage decoding operation. Each encoding stage produces an instance of encoder attention information that expresses identified relations across the plural frames of the input video information. Each decoding stage operates on an instance of encoder attention information produced by a corresponding encoding stage. The transformer architecture is compact and is capable of interpolating the input video information in real time.

Abstract: Embodiments described herein are directed to generating a machine learning (ML) model. A plurality of vectors are accessed, each vector of the plurality of vectors including a first set of features associated with a corresponding data item. A second set of features is identified by expanding the first set of features. A ML model is trained using vectors including the expanded set of features, and it is determined that an accuracy of the ML model trained using the vectors increased. A third set of features is identified by determining a measure of importance for different subsets of features in the second set and replacing subsets having a low measure of importance with new features. A ML model is trained using vectors that include the third set, and it is determined that an accuracy of the model increased due to the replacing.

Abstract: A method and a device for locking an equipment with a rack are presented. The device may include a trigger and an equipment locking mechanism, wherein upon the trigger automatically activates the equipment locking mechanism upon contacting a portion of the rack. The automatic locking initiates when the equipment reaches a desired position within the rack.

Abstract: One example provides, on a scanning mirror display system, a method for communicating timing information for light samples that are scanned to form a displayed image. The method comprises, for a line of light samples, encoding timing information for a first light sample of the line of light samples using a first, greater number of bits to form encoded timing information for the first light sample. The method further comprises encoding timing information for a subsequent light sample of the line of light samples by computing a derivative based upon a timing of the subsequent light sample compared to a prior light sample, encoding the derivative using a second, lesser number of bits to form encoded timing information for the subsequent light sample, and sending the information for the first light sample and the subsequent light sample across the communications channel.

Abstract: The techniques disclosed herein enable systems to provide a streamlined user experience in file manager applications across diverse file contexts (e.g., local, cloud). This is accomplished by utilizing expanded folder previews that enable a user to view and interact with the contents of a folder without navigating into the folder itself. In various examples, an expanded folder preview is triggered by a user input within a user interface selecting a folder such as a hover gesture. Accordingly, the expanded folder preview displays some or all of the files and/or subfolders within the folder to enable contextual actions such as file uploads and transfers. In addition, the expanded folder preview can be customized based on the file context of the associated folder. For instance, a local folder preview can provide preview renderings of file content. In another example, a collaborative folder preview can identify other users with access to the file.

Abstract: A data processing system implements obtaining a set of input parameters associated with an update to be deployed to a plurality of server farms of a cloud-based service, wherein each server farm includes a primary replica configured to handle user traffic and a disaster recovery replica configured to handle user traffic responsive to a failure of the primary replica; determining temperature information for each of the server farms, ranking the server farms based on the temperature information to determine an order in which an update is to be deployed to the server farms; iteratively deploying the updates to the primary replicas of the server farms according to the ranking until an deployment threshold has been satisfied; and iteratively deploying the updates to the primary replicas of server farms for which the primary replicas have not yet been updated and to the disaster recovery replicas of the server farms.

Abstract: A deep learning model trained to learn to predict source code is tuned for a target source code generation task through reinforcement learning using a reward score that considers the quality of the source code predicted during the tuning process. The reward score is adjusted to consider code-quality factors and source code metrics. The code-quality factors account for the predicted source code having syntactic correctness, successful compilation, successful execution, successful invocation, readability, functional correctness, and coverage. The source code metrics generate a score based on how close the predicted source code is to a ground truth code.

Abstract: A head-wearable audio device has a motion sensor that outputs motion parameter values based on a detected motion gesture. A gesture type is recognized by comparing the motion parameter values and per-user per-gesture-type recognition parameter values. An action is selected based on the selected gesture type and is executed by the head-wearable audio device or an application in a remote computing device. The head-wearable audio device may also include a capacitive touch sensor that detects capacitive touch events and outputs capacitive touch parameter values. A gesture type may be recognized by comparing both of detected motion parameter values and detected capacitive touch parameter values with per-user per-gesture-type recognition parameter values. The per-user per-gesture-type recognition parameter values are improved over time using machine learning and/or automated logic based on historical detected motion or capacitive touch parameters and corresponding selected gestures, or user profile data.

Abstract: A computer implemented method includes accessing training data that includes images, associated alternative text, and proximately located text providing instructions describing a user interface. The images are paired with text captions derived from the proximately located text and image's alternative text, training a vision and language model in a self-supervised manner using language masking, region masking, and image-text alignment techniques on respective image region features and tokenized text captions. Fine-tuning of the vision and language model is performed to obtain a specialized model representing user interface elements and associated functions.

Abstract: A method of training an index filter for an index tuning system includes receiving a plurality of different workloads and a plurality of different databases, each database including different tables and each workload including a plurality of queries; generating labeled training by making optimizer calls to a query optimizer using query and index configuration pairs from the plurality of databases and the plurality of workloads; training an index filter model to identify signals in the labeled training data, the signals being indicative of a potential performance improvement associated with using an index configuration for a given query; training the index filter model to learn rules over the signals for identifying spurious indexes; and storing the index filter model in a memory.

Abstract: The technology described herein provides an automated software-testing platform that functions in an undefined action space. The technology described herein starts with an undefined action space but begins to learn about the action space through random exploration. Both the action taken during testing and the resulting state may be communicated to a centralized testing service. The technology described herein also mines the action telemetry data and state telemetry data to identify action patterns that produce a sought after result. Once a plurality of action patterns is identified and, at least, a partial model of the action space is built, the testing on the test machines may be split into random test mode, replay test mode, and a pioneering test mode.

Abstract: Systems and methods related to efficient system on chip (SoC) power delivery with adaptive voltage headroom control are described. A method for adaptively controlling voltage headroom for a system includes, in response to either a detection of a headroom violation by a per core voltage regulator headroom monitor or a detection of a voltage droop by a per core droop detector, independently throttle operating frequency of a respective core clock signal. The method further includes, in response to meeting a predetermined criterion: (1) lowering the operating frequency of the respective core clock signal, (2) monitoring headroom violation events and droop events at the lowered operating frequency, and (3) if monitored headroom violation events or monitored droop events continue to meet the predetermined criterion, changing the voltage set point associated with the motherboard voltage regulator to a second voltage set point corresponding to a higher voltage.

Abstract: Embodiments of the present disclosure include techniques for error correction. Multiple successive odd syndromes are generated from input data comprising parity bits. Coefficients are generated and applied to a finite element field to detect multiple bit errors. Error correction circuitry corrects detected error bits. A single bit error detector may detect single bit errors. The error correction circuit may select between a single bit error vector and a multibit error vector based on one of the coefficients. The circuitry may be implemented in combinational logic to perform detection and correction in a single clock cycle.