Methods and computing devices for allocating test pods to a distributed computing system for executing a test plan on a device-under-test (DUT). Each test pod may include a test microservice including one or more test steps and an event microservice specifying function relations between the test microservice and other test microservices. The test pods are allocated to different servers to perform a distributed execution of the test plan on the DUT through one or more test interfaces.

Various embodiments include components (e.g., a processor in a vehicle advanced driver assistance system) configured to identify subsystems that require testing in order to verify their compliance with a safety requirement. The components may determine whether verification of compliance requires that the subsystems be tested at PON, at POFF, during runtime or a combination thereof, dynamically determine the achievable parallelism for testing the identified subsystems, dynamically determine coverage level requirements for performing or executing built in self tests (BISTs) on each identified subsystem, and perform or execute the BISTs on the subsystems at the determined level of parallel and at the determined coverage level.

Systems and methods are provided for testing many-core processors consisting of processing element cores. The systems and methods can include grouping the processing elements according to the dataflow of the many-core processor. Each group can include a processing element that only receives inputs from other processing elements in the group. After grouping the processing elements, test information can be provided in parallel to each group. The test information can be configured to ensure a desired degree of test coverage for the processing element that that only receives inputs from other processing elements in the group. Each group can perform testing operations in parallel to generate test results. The test results can be read out of each group. The processing elements can then be regrouped according to the dataflow of the many-core processor and the testing can be repeated to achieve a target test coverage.

A method of generating instructions to be executed by a plurality of execution engines that shares a resource is provided. The method comprises, in a first generation step: reading a first engine logical timestamp vector of a first execution engine of the execution engines, the logical timestamp representing a history of access operations for the resource; determining whether the first engine logical timestamp vector includes a most-up-to-date logical timestamp of the resource in the first generation step; based on the first engine logical timestamp vector including the most-up-to-date logical timestamp of the resource in the first generation step, generating an access instruction to be executed by the first execution engine to access the resource; and scheduling the first execution engine to execute the access instruction.

An electronic control device includes: a diagnostic circuit unit configured to be reconfigurable so as to be used to diagnose each of a plurality of processing circuits that processes an input signal; an input data storage unit configured to temporarily store the input signal; an output data storage unit configured to temporarily store an output signal of the plurality of processing circuits; a reconfiguration control unit configured to sequentially write, to the diagnostic circuit unit as circuit configuration information, circuit information the same as that of the plurality of processing circuits; a diagnostic control unit configured to cause the diagnostic circuit unit to perform calculation using the input signal stored in the input data storage unit when the circuit configuration information is written to the diagnostic circuit unit; and a comparator configured to diagnose each of the plurality of processing circuits by comparing output of the diagnostic circuit unit and the output signal stored in the output data storage unit.

A system to implement debugging for a multi-threaded processor is provided. The system includes a hardware thread scheduler configured to schedule processing of data, and a plurality of schedulers, each configured to schedule a given pipeline for processing instructions. The system further includes a debug control configured to control at least one of the plurality of schedulers to halt, step, or resume the given pipeline of the at least one of the plurality of schedulers for the data to enable debugging thereof. The system further includes a plurality of hardware accelerators configured to implement a series of tasks in accordance with a schedule provided by a respective scheduler in accordance with a command from the debug control. Each of the plurality of hardware accelerators is coupled to at least one of the plurality of schedulers to execute the instructions for the given pipeline and to a shared memory.

Methods testing a data coherency algorithm via a simulated multi-processor environment are provided, which include implementing: (i) a transactional footprint keeping the address of each cache line used by the processor core, (ii) a reference model operating on and keeping a set of timestamps for a cache line, the set including a construction date representing a global timestamp when new data arrives at a private cache hierarchy and an expiration date representing another global timestamp when a cross-invalidation hits the private cache hierarchy, (iii) a core observed timestamp representing a global timestamp of an oldest construction date of data used before, and (iv) interface events monitoring instruction sequences guaranteed by transactional execution to ensure atomicity of a transaction. Upon detecting a transaction end event and finding a cache line of the transactional footprint having an expiration date older than or equal to a core observed time, an error is reported.

Embodiments for managing distributed computing systems are provided. Information associated with operation of a computing node within a distributed computing system is collected. A reliability score for the computing node is calculated based on the collected information. The calculating of the reliability score is performed utilizing the computing node. A remedial action associated with the operation of the computing node is caused to be performed based on the calculated reliability score.

Systems and methods are provided for testing many-core processors consisting of processing element cores. The systems and methods can include grouping the processing elements according to the dataflow of the many-core processor. Each group can include a processing element that only receives inputs from other processing elements in the group. After grouping the processing elements, test information can be provided in parallel to each group. The test information can be configured to ensure a desired degree of test coverage for the processing element that that only receives inputs from other processing elements in the group. Each group can perform testing operations in parallel to generate test results. The test results can be read out of each group. The processing elements can then be regrouped according to the dataflow of the many-core processor and the testing can be repeated to achieve a target test coverage.

A fault diagnosis system is disclosed, including: a control unit, a first management board, a first pull-up unit, a second pull-up unit, a first pull-up switch, a second pull-up switch, and at least one central processing unit, the control unit is configured to receive physical partitioning information sent by the first management board, the first pull-up unit and the second pull-up unit are configured to pull up a fault indication signal of a fault diagnosis path to obtain a target signal, the first management board is configured to detect whether a level of the target signal is lower than a diagnosis threshold, and when the level of the target signal is lower than the diagnosis threshold, determine that a faulty central processing unit exists in the at least one central processing unit.