Intel Corporation

Chetan Hiremath

Udayan Mukherjee

Neelam Chandwani

Rakesh Dodeja

Candy Yiu

Nageen Himayat

Thorsten Clevorn

Dave A Cavalcanti

Harry G Skinner

Stephen T Palermo

Jeffrey R Foerster

Brent Elliott

Mikhail T Galeev

Susruth Sudhakaran

Shadi Iskander

Wen Wei

Mustafa Akdeniz

Jesus Martinez

Benjamin Grewell

Anthony Ambrose

Ned M Smith

Francesc Guim Bernat

David Sonnier

Edwin Verplanke

William G Burroughs

Rahul R Shah

Niall D McDonnell

Shrikant M Shah

Bruce Richardson

Kuriappan P Alappat

Kevin W Bross

Rajesh Gadiyar

Valerie J Parker

Kin-Hang W Cheung

Mrittika Ganguli

Abhishek Khade

Gage Eads

Abhirupa Layek

Santosh Balakrishnan

Sarita Maini

Bradley Chaddick

John Mangan

Jason K Smith

Niall Mcdonnell

Udayan Mukheriee

Praveen Mosur

Methods, apparatus, systems, and articles of manufacture are disclosed for hardware queue scheduling for multi-core computing environments. An example apparatus includes a first core and a second core of a processor, and circuitry in a die of the processor, at least one of the first core or the second core included in the die, the at least one of the first core or the second core separate from the circuitry, the circuitry to enqueue an identifier to a queue implemented with the circuitry, the identifier associated with a data packet, assign the identifier in the queue to a first core of the processor, and in response to an execution of an operation on the data packet with the first core, provide the identifier to the second core to cause the second core to distribute the data packet.

Hardware queue scheduling for multi-core computing environments

Various approaches for the deployment and use of communication exclusion zones, defined for use with a satellite non-terrestrial network (including within a low-earth orbit satellite constellation), are discussed. In an example, defining and implementing a non-terrestrial communication exclusion zone includes: calculating based on a future orbital position of a low-earth orbit satellite vehicle, an exclusion condition for communications from the satellite vehicle; identifying, based on the exclusion condition and the future orbital position, a timing for implementing the exclusion condition for the communications from the satellite vehicle; and generating exclusion zone data for use by the satellite vehicle, the exclusion zone data indicating the timing for implementing the exclusion condition for the communications from the satellite vehicle.

Satellite 5G terrestrial and non-terrestrial network interference exclusion zones

An apparatus of a wireless device, such as a user equipment (UE), can include processing circuitry configured to perform one or more of the handover-related techniques disclosed herein. For example, when associated with moving with a plurality of mobile devices from coverage of a first cell to a second cell, the processing circuitry can detect the second cell. One or more parameters of the second cell can be measured. The one or more parameters can be communicated to one or more other mobile devices of the plurality of mobile devices.

Handover-related technology, apparatuses, and methods

A method to reduce memory power consumption for a computing platform includes inspecting an operating parameter associated with a resource of the computing platform that is updated by the resource of the computing platform during runtime of the computing platform. Memory power utilization is then predicted for the computing platform during the runtime of the computing platform based at least in part on the operating parameter. A current power state of at least one memory module resident on the computing platform is transitioned to one of a plurality of power states based on the predicting of the memory power utilization.

Predict computing platform memory power utilization

A method according to one embodiment may include discovering, by software, at least one variable from at least one component populated on a shelf system. The method may also include performing, by the software, at least one shelf management function based on at least one variable. Of course, many alternatives, variations, and modifications are possible without departing from this embodiment.

Systems, apparatus and methods capable of shelf management

Described herein are a method and an apparatus for reducing power consumption of memories by monitoring the power states of the memories via an operating system. The method comprises reading counter values corresponding to power states of each memory of a plurality memories; computing a power state usage corresponding to the power states of each memory of the plurality, the computing based on the counter values; determining whether the power state usage exceeds a predetermined threshold usage; and adjusting current and future usage of each memory of the plurality in response to determining that the power state usage exceeds the predetermined threshold usage.

Method and apparatus for reducing power consumption for memories

A method is to include implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform. The implementation includes determining a configuration parameter for the computing platform, monitoring an operating parameter for the computing platform and predicting memory power utilization for the computing platform based on the determined configuration parameter and the monitored operating parameter. The method is to also include transitioning at least one memory module resident on the computing platform to one of a plurality of power states based at least in part on memory power utilization predicted via the implementation of the at least one statistical prediction model.

A method for managing a system includes monitoring a plurality of applications running in the system for errors. A prediction is made as to whether errors detected would result in a failure. Fault recovery is initiated in response to a failure prediction. According to one aspect of the present invention, monitoring the plurality of applications includes reading error recorders associated with error occurrence. Other embodiments are described and claimed.

Method and apparatus for managing software errors in a computer system

A hardware management module is enabled to perform hardware management for a modular platform system that includes a plurality of modular platform shelves coupled via one or more communication links in a network. Hardware management to include monitoring board interfaces resident on one or more backplanes within the plurality of modular platform shelves, detecting when a board is received and coupled to a board interface and performing one or more hardware management functions to include obtaining field replaceable unit information from the detected board.

Hardware management module

A fault module supports detection, analysis, and/or logging of various faults in a processor system. In one embodiment, the system is provided on a multi-core, single die device.

Method and apparatus to detect/manage faults in a system

Faults are monitored with information from agents for a plurality of sensors located on a plurality of circuit boards. A policy containing a error event thresholds against which the stored sensor information can be compared. Actions can be initiated by a fault module when one or more of the error event thresholds is exceeded.

Method and apparatus to monitor stress conditions in a system

A method for dynamic assignment of slot-dependent static network port addresses. Under the method, a slot address and shelf address are determined for a card modular platform board installed in a given slot in a shelf. The slot and shelf addresses are used as inputs to return a unique network address. The unique network address is then assigned as a static network address for the board's network port. The unique address may be provided by an address proxy, including a boot server. Firmware and/or software stored on a board may also be employed to obtain the static network address. The address may be obtained from a pre-configured lookup table, or dynamically determined using an algorithm.

Method for dynamic assignment of slot-dependent static port addresses

A modeling module is disclosed that couples to a modular platform chassis. The modeling module includes a resident management controller to implement a test to model a component layout for a module to be received and coupled to the modular platform chassis. The test includes an operating thermal load for a component resident on the module at a given location. The module has a dimensional length and width that is similar to that of the modeling module. The modeling module also includes a thermal load device that is responsive to the management controller. The thermal load device is to implement at least a portion of the test by simulating the operating thermal load for the component resident on the module at the given location.

Modeling module

Growing community of inventors

Portland, OR, United States of America

Chetan Hiremath