Intel Corporation

Jonas Svennebring

Christopher J Hughes

Samantika S Sury

Doddaballapur N Jayasimha

Yen-Cheng Liu

David A Koufaty

Stephen R Van Doren

Niall D McDonnell

Bjorn Topel

Hassnaa Moustafa

Eliezer Tamir

Joseph Nuzman

Katalin Klara Bartfai-Walcott

Andrey Chilikin

Stephen J Robinson

Andrew Cunningham

Carl-Oscar Montelius

Chris MacNamara

Jong Soo Park

Swadesh Choudhary

Antony Vance Jeyaraj

Christopher MacNamara

Lingxiang Xiang

Theoharis Charitidis

In one embodiment, a current path of a mobile device is determined based on radio signals between the mobile device and a base station, which indicates a sequence of positions of the mobile device over a current time window. A future path of the mobile device is then predicted based on the current path, which indicates a sequence of predicted future positions of the mobile device over a future time window. A link performance prediction (LPP) is then generated for the mobile device based on the future path of the mobile device and a base station coverage map. The base station coverage map indicates a radio signal quality across a base station coverage area, which is represented as a three-dimensional (3D) coordinate space. Moreover, the LPP indicates a predicted performance of a radio link between the mobile device and the base station during the future time window.

Link performance prediction using spatial link performance mapping

Disclosed embodiments relate to atomic memory operations. In one example, a method of executing an instruction atomically and with weak order includes: fetching, by fetch circuitry, the instruction from code storage, the instruction including an opcode, a source identifier, and a destination identifier, decoding, by decode circuitry, the fetched instruction, selecting, by a scheduling circuit, an execution circuit among multiple circuits in a system, scheduling, by the scheduling circuit, execution of the decoded instruction out of order with respect to other instructions, with an order selected to optimize at least one of latency, throughput, power, and performance, and executing the decoded instruction, by the execution circuit, to: atomically read a datum from a location identified by the destination identifier, perform an operation on the datum as specified by the opcode, the operation to use a source operand identified by the source identifier, and write a result back to the location.

Instructions for remote atomic operations

System and techniques for radio link quality prediction are described herein. A mobile device may receive a device registration. Motion data for the mobile device may then be obtained. A predicted path for the mobile device may be derived from the motion data. A set of predicted radio metrics for the mobile device along the predicted path mat be produced via a dynamic coverage map. The set of predicted radio metrics may then be transmitted.

Radio link quality prediction

Various systems and methods for determining and communicating Link Performance Predictions (LPPs), such as in connection with management of radio communication links, are discussed herein. The LPPs are predictions of future network behaviors/metrics (e.g., bandwidth, latency, capacity, coverage holes, etc.). The LPPs are communicated to applications and/or network infrastructure, which allows the applications/infrastructure to make operational decisions for improved signaling/link resource utilization. In embodiments, the link performance analysis is divided into multiple layers that determine their own link performance metrics, which are then fused together to make an LPP. Each layer runs different algorithms, and provides respective results to an LPP layer/engine that fuses the results together to obtain the LPP. Other embodiments are described and/or claimed.

Link performance prediction technologies

Aspects of data re-direction are described, which can include software-defined networking (SDN) data re-direction operations. Some aspects include data re-direction operations performed by one or more virtualized network functions. In some aspects, a network router decodes an indication of a handover of a user equipment (UE) from a first end point (EP) to a second EP, based on the indication, the router can update a relocation table including the UE identifier, an identifier of the first EP, and an identifier of the second EP. The router can receive a data packet for the UE, configured for transmission to the first EP, and modify the data packet, based on the relocation table, for rerouting to the second EP. In some aspects, the router can decode handover prediction information, including an indication of a predicted future geographic location of the UE, and update the relocation table based on the handover prediction information.

Software-defined networking data re-direction

Disclosed embodiments relate to remote atomic operations (RAO) in multi-socket systems. In one example, a method, performed by a cache control circuit of a requester socket, includes: receiving the RAO instruction from the requester CPU core, determining a home agent in a home socket for the addressed cache line, providing a request for ownership (RFO) of the addressed cache line to the home agent, waiting for the home agent to either invalidate and retrieve a latest copy of the addressed cache line from a cache, or to fetch the addressed cache line from memory, receiving an acknowledgement and the addressed cache line, executing the RAO instruction on the received cache line atomically, subsequently receiving multiple local RAO instructions to the addressed cache line from one or more requester CPU cores, and executing the multiple local RAO instructions on the received cache line independently of the home agent.

Remote atomic operations in multi-socket systems

Disclosed embodiments relate to spatial and temporal merging of remote atomic operations. In one example, a system includes an RAO instruction queue stored in a memory and having entries grouped by destination cache line, each entry to enqueue an RAO instruction including an opcode, a destination identifier, and source data, optimization circuitry to receive an incoming RAO instruction, scan the RAO instruction queue to detect a matching enqueued RAO instruction identifying a same destination cache line as the incoming RAO instruction, the optimization circuitry further to, responsive to no matching enqueued RAO instruction being detected, enqueue the incoming RAO instruction; and, responsive to a matching enqueued RAO instruction being detected, determine whether the incoming and matching RAO instructions have a same opcode to non-overlapping cache line elements, and, if so, spatially combine the incoming and matching RAO instructions by enqueuing both RAO instructions in a same group of cache line queue entries at different offsets.

Spatial and temporal merging of remote atomic operations

Growing community of inventors

Sollentuna, Sweden

Jonas Svennebring