G06F11/1629

DETECTING ANOMALIES ONLINE USING HISTORICAL CONTROLLER PROCESSING ACTIVITY
20210263725 · 2021-08-26 · ·

Disclosed embodiments relate to identifying Electronic Control Unit (ECU) anomalies in a vehicle. Operations may include monitoring, in the vehicle, data representing real-time processing activity of the ECU; accessing, in the vehicle, historical data relating to processing activity of the ECU, the historical data representing expected processing activity of the ECU; comparing, in the vehicle, the real-time processing activity data with the historical data, to identify at least one anomaly in the real-time processing activity of the ECU; and implementing a control action for the ECU when the at least one anomaly is identified.

PARALLEL PROCESSING SYSTEM RUNTIME STATE RELOAD
20210263811 · 2021-08-26 ·

A parallel processing system includes at least three processors operating in parallel, state monitoring circuitry, and state reload circuitry. The state monitoring circuitry couples to the at least three parallel processors and is configured to monitor runtime states of the at least three parallel processors and identify a first processor of the at least three parallel processors having at least one runtime state error. The state reload circuitry couples to the at least three parallel processors and is configured to select a second processor of the at least three parallel processors for state reload, access a runtime state of the second processor, and load the runtime state of the second processor into the first processor. Monitoring and reload may be performed only on sub-systems of the at least three parallel processors. During reload, clocks and supply voltages of the processors may be altered. The state reload may relate to sub-systems.

ORCHESTRATOR REPORTING OF PROBABILITY OF DOWNTIME FROM MACHINE LEARNING PROCESS
20210286615 · 2021-09-16 · ·

Disclosed embodiments relate to reporting Electronic Control Unit (ECU) errors or faults to a remote monitoring server. Operations may include receiving operational data from a plurality of ECUs in the vehicle, the operational data being indicative of a plurality of runtime attributes of the plurality of ECUs; generating, through a machine learning process, a statistical model of the operational data; receiving live, runtime updates from the plurality of ECUs in the communications network of the vehicle; identifying an ECU error associated with an ECU in the communications network of the vehicle, the ECU error being determined by a comparison of the live, runtime updates with the statistical model of the operational data to identify at least one deviation from the operational data; and wirelessly sending a report to the remote monitoring server based on the live, runtime updates, the report identifying the ECU and the identified ECU error.

Roll back of data delta updates
11119758 · 2021-09-14 · ·

Disclosed embodiments relate to adjusting vehicle Electronic Control Unit (ECU) software versions. Operations may include receiving a prompt to adjust an ECU of a vehicle from executing a first version of ECU software to a second version of ECU software; configuring, in response to the prompt and based on a delta file corresponding to the second version of ECU software, the second version of ECU software on the ECU in the vehicle for execution; and configuring, in response to the prompt, the first version of ECU software on the ECU in the vehicle to become non-executable.

HOT UPDATES TO CONTROLLER SOFTWARE USING TOOL CHAIN
20210255850 · 2021-08-19 · ·

Disclosed embodiments relate to performing updates to Electronic Control Unit (ECU) software while an ECU of a vehicle is operating. Operations may include receiving, at the vehicle while the ECU of the vehicle is operating, a software update file for the ECU software; writing, while the ECU is operating, the software update file into a first memory location in a memory of the ECU while simultaneously executing a code segment of existing code in a second memory location in the memory of the ECU; and updating a plurality of memory addresses associated with the memory of the ECU based on the software update file and without interrupting the execution of the code segment currently being executed in the second memory location in the memory of the ECU.

Assembling data deltas in controllers and managing interdependencies between software versions in controllers using tool chain
11068258 · 2021-07-20 · ·

Disclosed embodiments relate to perform operations for receiving and integrating a delta file in a vehicle. Operations may include receiving, at an Electronic Control Unit (ECU) in the vehicle, a delta file, the delta file comprising a plurality of deltas corresponding to a software update for software on the ECU and startup code for executing the delta file in the ECU; executing the delta file, based on the startup code, in the ECU; and updating memory addresses in the ECU to correspond to the plurality of deltas from the delta file.

Self-healing learning system for one or more controllers
11099836 · 2021-08-24 · ·

Disclosed embodiments relate to automatically providing updates to at least one vehicle. Operations may include receiving, at a server remote from the at least one vehicle, Electronic Control Unit (ECU) activity data from the at least one vehicle, the ECU activity data corresponding to actual operation of the ECU in the at least one vehicle; determining, at the server and based on the ECU activity data, a software vulnerability affecting the at least one vehicle, the software vulnerability being determined based on a deviation between the received ECU activity data and expected ECU activity data; identifying, at the server, an ECU software update based on the determined software vulnerability; and sending, from the server, a delta file configured to update software on the ECU with a software update corresponding to the identified ECU software update.

Selectable system controller for multi-processor computing systems

A system includes a computing system and a cable connector. The computing system includes a plurality of processors and an interconnect circuit configured to connect the plurality of processors to each other. The cable connector is configured to connect to the interconnect circuit and provide a channel identifier to the computing system, and the interconnect circuit is configured to set one of the plurality of processors as a system controller based on the channel identifier.

Error recovery method and apparatus based on a lockup mechanism

An error recovery method and apparatus, and a system are disclosed. At least two CPUs in a lockstep mode can exit the lockstep mode when an error occurs in at least one CPU, and the CPU in which the error occurs and a type of the error are determined. When the error can be recovered, the CPU in which the error occurs can be recovered according to a correctly running CPU. This helps the at least two CPUs run again at a position at which a service program is interrupted.

APPARATUSES, METHODS, AND SYSTEMS FOR HARDWARE-ASSISTED LOCKSTEP OF PROCESSOR CORES
20210303372 · 2021-09-30 ·

Systems, methods, and apparatuses relating to circuitry to implement lockstep of processor cores are described. In one embodiment, a hardware processor comprises a first processor core comprising a first control flow signature register and a first execution circuit, a second processor core comprising a second control flow signature register and a second execution circuit, and at least one signature circuit to perform a first state history compression operation on a first instruction that executes on the first execution circuit of the first processor core to produce a first result, store the first result in the first control flow signature register, perform a second state history compression operation on a second instruction that executes on the second execution circuit of the second processor core to produce a second result, and store the second result in the second control flow signature register.