A High Performance Computing (HPC) node comprises a motherboard, a switch comprising eight or more ports integrated on the motherboard, and at least two processors operable to execute an HPC job, with each processor communicably coupled to the integrated switch and integrated on the motherboard.

An adaptable integrated circuit is disclosed having a plurality of heterogeneous computational elements coupled to an interconnection network. The interconnection network changes interconnections between the plurality of heterogeneous computational elements in response to configuration information. A first group of computational elements is allocated to form a first version of a functional unit to perform a first function by changing interconnections in the interconnection network between the first group of heterogeneous computational elements. A second group of computational elements is allocated to form a second version of a functional unit to perform the first function by changing interconnections in the interconnection network between the second group of heterogeneous computational elements. One or more of the first or second group of heterogeneous computational elements are reallocated to perform a second function by changing the interconnections between the one or more of the first or second group of heterogeneous computational elements.

Methods, devices, and systems for management of a cloud computing environment for use by a software application. The cloud computing environment may be an N-tier environment. Multiple cloud providers may be used to provide the cloud computing environment.

Transferring files to a baseboard management controller (‘BMC’) in a computing system, including: receiving, by the BMC, a request to initiate an update of the computing system; identifying, by the BMC, an area in memory within the computing system for storing an update file; and transmitting, by the BMC, a request to register the BMC as a virtual memory device.

Transferring files to a baseboard management controller (‘BMC’) in a computing system, including: receiving, by the BMC, a request to initiate an update of the computing system; identifying, by the BMC, an area in memory within the computing system for storing an update file; and transmitting, by the BMC, a request to register the BMC as a virtual memory device.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining a set of training data, wherein the set of training data comprises sequences of words; training a classifier and an embedding function on the set of training data, wherein training the embedding function comprises obtained trained values of the embedding function parameters; processing each word in the vocabulary using the embedding function in accordance with the trained values of the embedding function parameters to generate a respective numerical representation of each word in the vocabulary in the high-dimensional space; and associating each word in the vocabulary with the respective numeric representation of the word in the high-dimensional space.

A document authoring program provides different views of a document opened by a user. In the editing view, the user can view the document contents and edit the contents in using a menu bar. In the semantic zoom view, the user is presented with a heading pane and a thumbnail pane and the menu bar is removed. The user can toggle from the editing view to the semantic zoom view by zooming out past a defined threshold using various user interface controls. Once the threshold is exceeded, the semantic view is presented. The editing view is returned to by selecting a heading or a thumbnail page, which respectively returns the user the page incorporating the selected heading or to the page incorporating the selected heading. This page will be displayed in the editing view at the same zoom level prior to toggling to the semantic zoom view.

Systems and methods for dynamic development and deployment of computing applications including a development framework, a visual design subsystem, and a deployment subsystem, where at runtime the deployment subsystem is operable to dynamically deploy a computing application realized by a blueprint by sending a request at runtime for graphs and components instantiated by the blueprint.

A system and method can support user account management in a computing environment. The computing environment can include a video encoding pool to support load balancing and a managing server, such as a privileged account manager server. The video encoding pool includes a set of nodes that are able to perform one or more video processing tasks for another node. Furthermore, the managing server can receive a request from a managed node in the computing environment for delegating a video processing task, and can select one or more nodes from the video encoding pool to load babalance and to perform the video processing task.

According to one embodiment, a method comprises evaluating messages between nodes of a distributed computing environment. Based on timing relationships of the messages, probability of causal links between pairs of messages determined. Based on the determined probability, at least one causal path comprising a plurality of causal links is inferred. Further, an overall probability that the inferred causal path is accurate is determined. In certain embodiments, the overall probability is output for the corresponding causal path to provide an indication of the confidence of the accuracy of such inferred causal path.

Methods and systems for load balancing read/write requests of a virtualized storage system. In one embodiment, a storage system includes a plurality of physical storage devices and a storage module operable within a communication network to present the plurality of physical storage devices as a virtual storage device to a plurality of network computing elements that are coupled to the communication network. The virtual storage device comprises a plurality of virtual storage volumes, wherein each virtual storage volume is communicatively coupled to the physical storage devices via the storage module. The storage module comprises maps that are used to route read/write requests from the network computing elements to the virtual storage volumes. Each map links read/write requests from at least one network computing element to a respective virtual storage volume within the virtual storage device.

A system and methods are provided for controlling a motor of a rod pumping system using previous RPMs of the motor and predicting an RPM of the motor; correcting a power factor of a motor of a rod pumping system; allocating energy consumption and allocating energy generation for a set of wells connected to an electricity meter using an amount of energy generated by each well; and generating an alert if a set of data is beyond a threshold for the set of data.

A system for performing computing operations includes a rack, one or more shelves coupled to the rack, and two or more computing modules. Each computing module may include a chassis, one or more circuit board assemblies in a primarily vertical orientation, and one or more hard disk drives in a primarily vertical orientation. The circuit board assemblies and the hard disk drives are coupled to the chassis of the computing module.

In general, the subject matter described in this specification can be embodied in methods, systems, and program products for identifying proximity of a mobile computing device to another mobile computing device. A computing system determines that a set of mobile computing devices are geographically proximate to a first mobile computing device based on identifying that each of the mobile computing devices received a first type of signal from an emitting device for which the first mobile computing device also received the first type of signal. The computing system determines a subset of the mobile computing devices that share a physical space with the first mobile computing device based on identifying that each of the mobile computing devices emitted a second type of signal that was detected by the first mobile computing device, or detected the second type of signal that was emitted by the first mobile computing device.

Methods, devices and system are provided. One method includes capturing activity data associated with activity of a user via a device. The activity data is captured over time, and the activity data is quantifiable by a plurality of metrics. The method includes storing the activity data in storage of the device and, from time to time, connecting the device with a computing device over a wireless communication link. The method defines using a first transfer rate for transferring activity data captured and stored over a period of time. The first transfer rate is used following startup of an activity tracking application on the computing device The method also defines using a second transfer rate for transferring activity data from the device to the computing device for display of the activity data in substantial-real time on the computing device.

The adjustable headset is an all in one device that includes an adjustable support band, a display system, a first and second ear cover, a computer system, a communications system, and a power source. The adjustable support band connects to each ear cover, with the ear covers being adjacent to a user's ears. The display system uses binary screens to create the experience of looking at large screens by taking up most of a user's field of view. The display system is attached to the ear covers by adjustable screen bars, which allow a user to change the general orientation of the display system. The computer system is capable of storing and running software programs and interfacing with connected devices by means of a set of connection ports or the communications system. The virtual goggles can adjust to meet individual comfort needs and interface with a variety of technologies.

A cloud computing system for object location, object identification, object picking, object picking by line, object loading onto one or more transport devices, or object delivery that can include using a cloud based server comprising a cloud based processor in communication with a cloud based data storage. The cloud based server can be in communication with at least one mobile processor in communication with a mobile data storage and a display. The method can also include sending instructions to an operator from the cloud based computer to a mobile processor associated with an operator to instruct the operator to perform a logistics operation. The logistic operation can include one or more of object location, object identification, object picking, object picking by line, object loading onto one or more transport devices, and object delivery.

A client-server computing system includes a server that has a virtual display driver that classifies and, if necessary, translates graphics application programming interface (API) functions to a cross-platform format. Classification involves determining whether the graphics command(s) are platform-specific and/or client-supported functions. After classification and translation, the graphics command(s) are marshaled and transmitted to a client via a network. The client includes a client display driver that executes the functions using a client 3D library and renders the resulting image data to a display.

Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

In various embodiments, a spectral graph partitioner (“SP”) of a graph partitioning system (“GPS”) may partition a data flow graph associated with a program into a plurality of subgraphs to be used to perform analysis or debugging. The SP may generate estimated eigenvectors for a matrix representing the graph through minimization of a function on the vectors. The SP may generate multiple eigenvectors to perform the clustering in a multi-dimensional space described by the eigenvectors. The SP may refine the clustering by repeating generation of eigenvectors to describe higher-dimensional spaces and perform further clustering. The SP may also determine quality metrics for the clusters and may stop refinement based on the quality metrics. The GPS may select between utilizing the SP or utilizing one or more other partitioners based on various factors such as, for example, graph size or quality metrics. Other embodiments may be described and/or claimed.

An apparatus includes a substrate, a classical computing processor formed on the substrate, a quantum computing processor formed on the substrate, and one or more coupling components between the classical computing processor and the quantum computing processor, the one or more coupling components being formed on the substrate and being configured to allow data exchange between the classical computing processor and the quantum computing processor.

The present application relates to a cache invalidation unit for a computing system having a processor unit, CPU, with a cache memory, a main memory and at least one an alternate bus master unit. The CPU, the main memory and the at least one an alternate bus master unit are coupled via an interconnect for data communications between them. The cache invalidation unit generates one or more invalidation requests to the cache memory in response to the alternate bus master unit writing data to the main memory. The cache invalidation unit comprises a page address generator unit to generate page addresses relating to at least one address range and an invalidation request generator unit to generate an invalidation request for each page address. The one or more generated invalidation requests are transmitted by the cache invalidation unit via to the cache memory of the CPU.

A computing system includes: a control circuit configured to: determine environment measurements representing conditions measured about a building structure located at a geographic location; generate a map based on the environment measurements for mapping a tier of the building structure along a vertical direction; and a storage circuit, coupled to the control circuit, configured to store the map for representing the building structure.

In a method for calibrating a star probe of an image measuring machine, the star probe includes one or more probe heads. Probe configuration information for the star probe is configured when there is no probe configuration file of the star probe stored in a storage device of the image measuring machine, and one of the probe heads to be calibrated is selected from the star probe. The method calibrates a radius value of the selected probe head, and calibrates the deviation between the center point of the selected probe head and the focus of the camera lens. The method further generates a star probe model of the star probe according to the probe configuration information and the probe calibration information, and displays the star probe model of the star probe on a display device of the image measuring machine.

Networking systems and methods for establishing and maintaining virtual computing clouds are disclosed. A networking system can comprise a server and various instances of a software agent, each agent being installed on a computing device participating in a virtual computing cloud. The server can maintain account setting for a user, wherein the settings can indicate which files on indicated computing devices are included in the virtual computing cloud. The networking system can selectively synchronize data between the computing devices automatically and in a secure manner, and can transmit data in real time to simulate local storage when synchronization of certain files is inappropriate in light of file incompatibility. As a result, the networking system can provide the user with a seamless, automatic system and method for accessing a total computing environment.

The 317-page report by the inspector general also found that giving the contract to a single company — Microsoft — rather than dividing it among competitors was "consistent with applicable acquisition standards."

See how to use IBM Cloud Functions to make the most of serverless computing. Doug Tidwell shows you how to generate code that manages a cloud-hosted NoSQL database.

(United States Ninth Circuit) - In a suit involving trade dress and copyright infringement claims, judgment for plaintiff is affirmed where defendant violated the federal Computer Fraud and Abuse Act while operating its website.

Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing.

The Big Questions series features perspectives from the five recipients of the Department of Energy Office of Science's 2019 Distinguished Scientists Fellows Award describing their research and what they plan to do with the award. Ian Foster is the director of Argonne National Laboratory's Data Science and Learning Division.

IBM Research today opened its second research location on the African continent and announced several new project collaborations in the areas of data driven healthcare, digital urban ecosystems and astronomy.

IBM and Stone Ridge Technology today announced a performance milestone in reservoir simulation designed to help improve efficiency and lower the cost of production. Working with NVIDIA, the companies shattered previous published results using one-tenth the power and 1/100th of the space. The news demonstrates the ability of NVIDIA GPUs to simulate one billion cell models in a fraction of the published time, while delivering 10x the performance and efficiency than legacy CPU codes.

At the International Supercomputing Conference in Frankfurt, The Weather Company, an IBM Business, today announced a plan to help improve weather prediction globally via a new collaboration with the University Corporation for Atmospheric Research (UCAR) and the National Center for Atmospheric Research (NCAR), a federally funded research and development center for the atmosphere and Earth’s geospace systems.

IBM scientists have developed a new approach to simulate molecules on a quantum computer that may one day help revolutionize chemistry and materials science. The scientists successfully used a seven-qubit quantum processor to address the molecular structure problem for beryllium hydride (BeH2) – the largest molecule simulated on a quantum computer to date. The results demonstrate a path of exploration for near-term quantum systems to enhance our understanding of complex chemical reactions that could lead to practical applications.

IBM today announced the first clients to tap into its IBM Q™ early-access commercial quantum computing systems to explore practical applications important to business and science. They include: JPMorgan Chase, Daimler AG, Samsung, JSR Corporation, Barclays, Hitachi Metals, Honda, Nagase, Keio University, Oak Ridge National Lab, Oxford University and University of Melbourne.

While marketing and sales professionals increasingly find themselves drowning in data, a new IBM study finds that nearly two thirds—64 percent--of surveyed CMOs and sales leaders believe their industries will be ready to adopt cognitive technologies in the next three years. However despite this stated readiness, the study finds that only 24 percent of those surveyed believe they have strategy in place to implement these technologies today.

IBM, which is celebrating its centennial this Thursday, announced that its Watson computer system was honored this evening as the Person Of The Year at the 15th Annual Webby Awards gala in New York City. Earlier this year, Watson captured the international spotlight when it competed on the renowned quiz show Jeopardy! and defeated the show's two most successful and celebrated contestants, Ken Jennings and Brad Rutter.

IBM today announced the zEnterprise® EC12 mainframe server, the most powerful and technologically advanced version of an IBM system that has been the linchpin of enterprise computing for 48 years. The new enterprise system features technologies that demonstrate IBM’s ongoing commitment to meet the growing need to secure and manage critical information with the System z mainframe.

Des avancées technologiques qui permettent d'accroître encore le leadership du mainframe et en font le système incontournable pour traiter les données critiques des entreprises

IBM Q Network to explore practical applications of quantum computing for business and science with University of Melbourne, JPMorgan Chase, Daimler AG, Samsung, JSR Corporation, Barclays, Hitachi Metals, Honda, Nagase, Keio University, Oak Ridge National Lab, and Oxford University.

Woodside Energy and IBM will work together to re-imagine the way work is done using next-generation technologies, such as artificial intelligence (AI) and quantum computing to help Woodside realise its vision of an “intelligent plant”.

Datatec tells shareholders that the rapidly spreading coronavirus outbreak has reached every region where the group operates.

(Association for Computing Machinery) Today, the ACM Europe Technology Policy Committee (Europe TPC) of the world's largest society of computing professionals, the Association for Computing Machinery (ACM), has released detailed principles and practices for the development and deployment of 'contact tracing' technology intended to track and arrest the spread of COVID-19.

Rahul Mazumder, Haolei Weng.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1348--1385.

Abstract:
Estimating a low rank matrix from its linear measurements is a problem of central importance in contemporary statistical analysis. The choice of tuning parameters for estimators remains an important challenge from a theoretical and practical perspective. To this end, Stein’s Unbiased Risk Estimate (SURE) framework provides a well-grounded statistical framework for degrees of freedom estimation. In this paper, we use the SURE framework to obtain degrees of freedom estimates for a general class of spectral regularized matrix estimators—our results generalize beyond the class of estimators that have been studied thus far. To this end, we use a result due to Shapiro (2002) pertaining to the differentiability of symmetric matrix valued functions, developed in the context of semidefinite optimization algorithms. We rigorously verify the applicability of Stein’s Lemma towards the derivation of degrees of freedom estimates; and also present new techniques based on Gaussian convolution to estimate the degrees of freedom of a class of spectral estimators, for which Stein’s Lemma does not directly apply.

In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services. However, energy consumption of a MEC network depends on volatile tasks that induces risk for energy demand estimations. As an energy supplier, a microgrid can facilitate seamless energy supply. However, the risk associated with energy supply is also increased due to unpredictable energy generation from renewable and non-renewable sources. Especially, the risk of energy shortfall is involved with uncertainties in both energy consumption and generation. In this paper, we study a risk-aware energy scheduling problem for a microgrid-powered MEC network. First, we formulate an optimization problem considering the conditional value-at-risk (CVaR) measurement for both energy consumption and generation, where the objective is to minimize the loss of energy shortfall of the MEC networks and we show this problem is an NP-hard problem. Second, we analyze our formulated problem using a multi-agent stochastic game that ensures the joint policy Nash equilibrium, and show the convergence of the proposed model. Third, we derive the solution by applying a multi-agent deep reinforcement learning (MADRL)-based asynchronous advantage actor-critic (A3C) algorithm with shared neural networks. This method mitigates the curse of dimensionality of the state space and chooses the best policy among the agents for the proposed problem. Finally, the experimental results establish a significant performance gain by considering CVaR for high accuracy energy scheduling of the proposed model than both the single and random agent models.