Intel Corporation

Liang J Ma

John Joseph Browne

Chris MacNamara

Hongjun Ni

Ziye Yang

Yadong Li

Anjali Singhai Jain

Tomasz Kantecki

Daniel Daly

Ping Yu

Jiang Yu

Cunming Liang

Changpeng Liu

Jingjing Wu

Shaopeng He

Bo Cui

Peter McCarthy

David Hunt

Zhiguo Wen

Weigang Li

Shobhi Jain

Amruta Misra

Liam Day

Pierre Laurent

Changzheng Wei

Junyuan Wang

Sean Harte

Kaijie Guo

Haitao Kang

Marcel Cornu

Madhusudana Raghupatruni

Nemanja Marjanovic

Rory Sexton

Maksim Lukoshkov

Yao Huo

Xuekun Hu

Mairtin O'Loingsigh

John Griffin

Terence Nally

Adrian Boczkowski

Jacqueline F Jardim

Chris M Macnamara

Technologies for performance monitoring include a computing device having multiple processor cores. The computing device performs a training workload with a processor core by continuously polling an empty input queue. The computing device determines empty polling thresholds based on the empty polling workload. The computing device performs a packet processing workload with one or more processor cores by continuously polling input queues associated with network traffic. The computing device compares a measured number of empty polls performed by the packet processing workload against the empty polling thresholds. The computing device configures power management of one or more processor cores in response to the comparison. The computing device may determine empty polling trends and compare the measured number of empty polls and the empty polling trends to the empty polling thresholds. Other embodiments are described and claimed.

Technologies for performance monitoring and management with empty polling

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

Examples described herein relate to a switch comprising a programmable data plane pipeline, wherein the programmable data plane pipeline is configured to provide microservice-to-microservice communications within a service mesh. In some examples, to provide microservice-to-microservice communications within a service mesh, the programmable data plane pipeline is to perform a forwarding operation for a communication from a first microservice to a second microservice. In some examples, to perform a forwarding operation for a communication from a first microservice to a second microservice, the programmable data plane pipeline is to utilize a reliable transport protocol.

Service mesh offload to network devices

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

Examples described herein relate to offload reliable transport management to a network interface device and store packets to be resent, based on received packet receipt acknowledgements (ACKs), into one or more kernel space queues that are also accessible in user space.

Reliable transport offloaded to network devices

Examples described herein provide for a first core to map a measurement of packet processing activity and operating parameters so that a second core can access the measurement of packet processing activity and potentially modify an operating parameter of the first core. The second core can modify operating parameters of the first core based on the measurement of packet processing activity. The first and second cores can be provisioned on start-up with a common key. The first and second cores can use the common key to encrypt or decrypt measurement of packet processing activity and operating parameters that are shared between the first and second cores. Accordingly, operating parameters of the first core can be modified by a different core while providing for secure modification of operating parameters.

Remote register updates

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 described herein relate to a reliable transport protocol for packet transmission using an Address Family of an eXpress Data Path (AF_XDP) queue framework, wherein the AF_XDP queue framework is to provide a queue for received packet receipt acknowledgements (ACKs). In some examples, an AF_XDP socket is to connect a service with a driver for the network device, one or more queues are associated with the AF_XDP socket, and at least one of the one or more queues comprises a waiting queue for received packet receipt ACKs. In some examples, at least one of the one or more queues is to identify one or more packets for which ACKs have been received. In some examples, the network device is to re-transmit a packet identified by a descriptor in the waiting queue based on non-receipt of an ACK associated with the packet from a receiver.

Examples herein relate to a system that includes a first memory device; a second memory device; and an input-output memory management unit (IOMMU). The IOMMU can search for a virtual-to-physical address translation entry in a first table for a received virtual address and based on a virtual-to-physical address translation entry for the received virtual address not being present in the first table, search a second table for a virtual-to-physical address translation entry for the received virtual address, wherein the first table is stored in the first memory device and the second table is stored in the second memory device. In some examples, based on a virtual-to-physical address translation entry for the received virtual address not being present in the second table, a page table walk is performed to determine a virtual-to-physical address translation for the received virtual address. In some examples, the first table includes an IO translation lookaside buffer (IOTLB).

Address translation technologies

Technologies for network packet processing include a computing device that receives incoming network packets. The computing device adds the incoming network packets to an input lockless shared ring, and then classifies the network packets. After classification, the computing device adds the network packets to multiple lockless shared traffic class rings, with each ring associated with a traffic class and output port. The computing device may allocate bandwidth between network packets active during a scheduling quantum in the traffic class rings associated with an output port, schedule the network packets in the traffic class rings for transmission, and then transmit the network packets in response to scheduling. The computing device may perform traffic class separation in parallel with bandwidth allocation and traffic scheduling. In some embodiments, the computing device may perform bandwidth allocation and/or traffic scheduling on each traffic class ring in parallel. Other embodiments are described and claimed.

Technologies for scalable network packet processing with lock-free rings

Growing community of inventors

Shannon, Ireland

Liang J Ma