Intel Corporation

David Hunt

John Joseph Browne

Chris MacNamara

Tomasz Kantecki

Eliezer Tamir

Andrew Cunningham

Bruce Richardson

Liang J Ma

Changzheng Wei

Niall Power

Kevin Devey

Ankush Varma

Shobhi Jain

Nemanja Marjanovic

Amruta Misra

Rory Sexton

Alexander Gendler

Vasudevan Srinivasan

Srihari Makineni

Nikhil Gupta

Dorit Shapira

Shrikant M Shah

Adwait Purandare

Eoin Walsh

Jasvinder Singh

Suresh Chemudupati

Declan W Doherty

Peter McCarthy

Chris Macnamara

Marcel Cornu

Reshma Pattan

Bryan T Butters

Adrian Boczkowski

Terence Nally

Ofer Nathan

Christopher M Macnamara

Pritesh P Shah

John Griffin

Mairtin O'Loingsigh

Anatoly Burakov

Mohammad Abdul Awal

Chris M Macnamara

A performance monitor provides cache miss stall and memory bandwidth usage metric samples to a resource exhaustion detector. The detector can detect the presence of last-level cache and memory bandwidth exhaustion conditions based on the metric samples. If cache miss stalls and memory bandwidth usage are both trending up, the detector reports a memory bandwidth exhaustion condition to a resource controller. If cache miss stalls are trending up and memory bandwidth usage is trending down, the detector reports a last-level cache exhaustion condition to the resource controller. The resource controller can allocate additional last-level cache or memory bandwidth to the processor unit to remediate the resource exhaustion condition. If bandwidth-related metric samples indicate that a processor unit may be overloaded due to receiving high bandwidth traffic, the resource controller can take a traffic rebalancing remedial action.

Processor unit resource exhaustion detection and remediation

A system comprising an interface to access a network slice power consumption parameter for a network slice comprising a logical network between two endpoints through a plurality of physical computing platforms; and a controller comprising circuitry, the controller to specify operating parameters for a plurality of hardware resources of a first physical computing platform in accordance with the network slice power consumption parameter.

Energy aware network slicing

A hardware controller within a core of a processor is described. The hardware controller includes telemetry logic to generate telemetry data that indicates an activity state of the core; core stall detection logic to determine, based on the telemetry data from the telemetry logic, whether the core is in an idle loop state; and a power controller that, in response to the core stall detection logic determining that the core is in the idle loop state, is to decrease a power mode of the core from a first power mode associated with a first set of power settings to a second power mode associated with a second set of power settings.

Hardware-assisted core frequency and voltage scaling in a poll mode idle loop

Technologies for providing efficient detection of idle poll loops include a compute device. The compute device has a compute engine that includes a plurality of cores and a memory. The compute engine is to determine a ratio of unsuccessful operations to successful operations over a predefined time period of a core of the plurality cores that is assigned to continually poll, within the predefined time period, a memory address for a change in status and determine whether the determined ratio satisfies a reference ratio of unsuccessful operations to successful operations. The reference ratio is indicative of a change in the operation of the assigned core. The compute engine is further to selectively increase or decrease a power usage of the assigned core as a function of whether the determined ratio satisfies the reference ratio. Other embodiments are also described and claimed.

Technologies for providing efficient detection of idle poll loops

Technologies for power-aware scheduling include a computing device that receives network packets. The computing device classifies the network packets by priority level and then assigns each network packet to a performance group bin. The packets are assigned based on priority level and other performance criteria. The computing device schedules the network packets assigned to each performance group for processing by a processing engine such as a processor core. Network packets assigned to performance groups having a high priority level are scheduled for processing by processing engines with a high performance level. The computing device may select performance levels for processing engines based on processing workload of the network packets. The computing device may control the performance level of the processing engines, for example by controlling the frequency of processor cores. The processing workload may include packet encryption. Other embodiments are described and claimed.

Technologies for power-aware scheduling for network packet processing

Examples herein relate to assigning, by a system agent of a central processing unit (CPU), an operating frequency to a core group based priority level of the core group while avoiding throttling of the system agent. Avoiding throttling of the system agent can include maintaining a minimum performance level of the system agent. A minimum performance level of the system agent can be based on a minimum operating frequency. Assigning, by a system agent of a central processing unit, an operating frequency to a core group based priority level of the core group while avoiding throttling of the system agent can avoid a thermal limit of the CPU. Avoiding thermal limit of the CPU can include adjusting the operating frequency to the core group to avoid performance indicators of the CPU. A performance indicator can indicate CPU utilization corresponds to Thermal Design Point (TDP).

Platform slicing of central processing unit (CPU) resources

Examples include techniques for monitoring a data packet transfer rate at an interface queue, and based at least in part on a comparison of the data packet transfer rate to a threshold, assigning the interface queue from a core of a first class to a core of a second class or assigning the interface queue from a core of the second class to a core of the first class.

Dynamic traffic-aware interface queue switching among processor cores

Technologies for demoting cache lines to a shared cache include a compute device with at least one processor having multiple cores, a cache memory with a core-local cache and a shared cache, and a cache line demote device. A processor core of a processor of the compute device is configured to retrieve at least a portion of data of a received network packet and move the data into one or more core-local cache lines of the core-local cache. The processor core is further configured to perform a processing operation on the data and transmit a cache line demotion command to the cache line demote device subsequent to having completed the processing operation. The cache line demote device is configured to perform a cache line demotion operation to demote the data from the core-local cache lines to shared cache lines of the shared cache. Other embodiments are described herein.

Technologies for demoting cache lines to shared cache

A network system includes a central processing unit and a peripheral device in electrical communication with the central processing unit. The peripheral device has at least one power input and a data input. The network system also includes an out of band controller in electrical communication with the central processing unit, the peripheral device, and an external management interface. Responsive to an identified threat, the out of band controller is configured to disable the at least one power input and the data input to the peripheral device, where the disablement indicates to the central processing unit that a hot plug event has occurred with respect to the peripheral device. The out of band controller is also configured to enable auxiliary power to the peripheral device such that the out of band controller remains in communication with the peripheral device during remediation of the identified threat.

Network function virtualization architecture with device isolation

Growing community of inventors

Meelick, Ireland

David Hunt