Intel Corporation

Nemanja Marjanovic

John Joseph Browne

Rory Sexton

Chris MacNamara

David Hunt

Eliezer Tamir

Tomasz Kantecki

Andrew Cunningham

Bruce Richardson

Changzheng Wei

Liang J Ma

Christopher MacNamara

William Johnson Bowhill

Niall Power

Kevin Devey

Peter McCarthy

Mairtin O'Loingsigh

Padraic Agnew

John Griffin

Colin Hanily

Christopher Nolan

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

In an example, there is disclosed a demand scaling engine, including: a processor interface to communicatively couple to a processor; a network controller interface to communicatively couple to a network controller and to receive network demand data; a scaleup criterion; a current processor frequency scale datum; and logic, provided at least partly in hardware, to: receive the network demand data; compare the network demand data to the scaleup criterion; determine that the network demand data exceeds the scaleup criterion; and instruct the processor via the processor interface to scaleup processor frequency.

Data center power management

Growing community of inventors

Ballybane, Ireland

Nemanja Marjanovic