Intel Corporation

Jaideep Moses

Ravishankar Iyer

Andrew J Herdrich

Rameshkumar G Illikkal

Srihari Makineni

Sadagopan Srinivasan

Rahul Khanna

Mats Gustav Agerstam

Mrittika Ganguli

Robert Colby

Ramesh Kumar Illikkal

Ananth S Narayan

Muthuvel M I

Li Zhao

Donald K Newell

Patrick C Lankswert

Don Newell

Carlos Cordeiro

Shilpa Talwar

Hari Kannan

Christian Maciocco

Srikathyayani Srikanteswara

Avinash N Ananthakrishnan

Xue Yang

Tryggve Fossum

Anthony George LaMarca

Kerstin Johnsson

Ashish V Choubal

Antonio Gonzalez

Fernando Latorre

Jeffrey R Foerster

Pedro Lopez

Jaume Abella

Meiyuan Zhao

Josep M Codina

Wen-Ling Huang

Raguraman Barathalwar

Jose-Alejandro Pineiro

Roy Ramon

Enric Gibert

Vijay S R Degalahal

Jared E Bendt

Ramesh G Illikkal

Sadogopan Srinivasan

Robert A Colby

In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.

Managing data center resources to achieve a quality of service

A method for discovery of devices is described herein. The method includes connecting, via a processor, to a discovery node service. The method also includes sending, via the processor, a node name to the discovery node service. The method further includes sending, via the processor, data and content to be sent to a discovery node associated with the node name. The method also further includes receiving data and content from the discovery node, the data to include a list of devices subscribed to the discovery node.

Device discovery using discovery nodes

In one embodiment, the present invention includes a method for receiving an interrupt from an accelerator, sending a resume signal directly to a small core responsive to the interrupt and providing a subset of an execution state of the large core to the first small core, and determining whether the small core can handle a request associated with the interrupt, and performing an operation corresponding to the request in the small core if the determination is in the affirmative, and otherwise providing the large core execution state and the resume signal to the large core. Other embodiments are described and claimed.

Power efficient processor architecture

Certain embodiments herein are directed to managing wireless spectrum, which may include recommending or transmitting spectrum usage changes to one or more wireless devices. A spectrum management system comprising one or more computers may receive spectrum usage information associated with one or more wireless devices. The spectrum management system may generate a spectrum usage map based on the received information. Based on the spectrum usage map, a spectrum usage change is determined and transmitted to one or more wireless devices. The wireless devices may change their operation in accordance with the spectrum usage change.

Cloud based spectrum management

A mechanism is described for facilitating detection and communication of geo-locations for devices according to one embodiment. A method of embodiments, as described herein, includes tracking, at a first smart device, one or more devices including a second smart device, and first and second smart devices including a computing device, and establishing a first connection with the second smart device, establishing further comprising exchanging first location data between the first smart device and the second smart device, establishing further including communicating a first current location associated with the first smart device to the second smart device. The method may further include identifying a second current location associated with the second smart device. The second current location may be initially recorded and iteratively rewritten at a first local memory of the first smart device.

Mechanism for facilitating dynamic detection and communication of geo-locations for devices

A processor is described having cache circuitry and logic circuitry. The logic circuitry is to manage the entry and removal of cache lines from the cache circuitry. The logic circuitry includes storage circuitry and control circuitry. The storage circuitry is to store information identifying a set of cache lines within the cache that are in a modified state. The control circuitry is coupled to the storage circuitry to receive the information from the storage circuitry, responsive to a signal to flush the cache, and determine addresses of the cache therefrom so that the set of cache lines are read from the cache so as to avoid reading cache lines from the cache that are in an invalid or a clean state.

Apparatus and method for reducing the flushing time of a cache

Embodiments of systems, apparatuses, and methods for energy-efficient operation of a device are described. In some embodiments, a cache performance indicator of a cache is monitored, and a set of one or more cache performance parameters based on the cache performance indicator is determined. The cache is dynamically resized to an optimal cache size based on a comparison of the cache performance parameters to their energy-efficient targets to reduce power consumption.

Method, apparatus, and system for energy efficiency and energy conservation including dynamic C0-state cache resizing

A method and apparatus for throttling power and/or performance of processing elements based on a priority of software entities is herein described. Priority aware power management logic receives priority levels of software entities and modifies operating points of processing elements associated with the software entities accordingly. Therefore, in a power savings mode, processing elements executing low priority applications/tasks are reduced to a lower operating point, i.e. lower voltage, lower frequency, throttled instruction issue, throttled memory accesses, and/or less access to shared resources. In addition, utilization logic potentially trackes utilization of a resource per priority level, which allows the power manager to determine operating points based on the effect of each priority level on each other from the perspective of the resources themselves. Moreover, a software entity itself may assign operating points, which the power manager enforces.

Priority based throttling for power/performance quality of service

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Portland, OR, United States of America

Jaideep Moses