35 results about "Random test generator" patented technology

A multi-core multi-node processor system has a plurality of multiprocessor nodes, each including a plurality of microprocessor cores. The plurality of microprocessor nodes and cores are connected and form a transactional communication network. The multi-core multi-node processor system has further one or more buffer units collecting transaction data relating to transactions sent from one core to another core. An agent is included which calculates latency data from the collected transaction data, processes the calculated latency data to gather transaction latency coverage data, and creates random test generator templates from the gathered transaction latency coverage data. The transaction latency coverage data indicates at least the latencies of the transactions detected during collection of the transaction data having a pre-determined latency, and includes, for example, four components for transaction type latency, transaction sequence latency, transaction overlap latency, and packet distance latency. Thus, random test generator templates may be created using latency coverage.

A validation system is disclosed for validating function of a packet-management unit operationally coupled through a system interface to a processing unit of a processor system. The validation system comprises a user interface for creating an inputting test parameters and test code into the system, a test generator coupled to the user interface, the test generator for generating input packet activity in the form of a packet stream, a model coupled to the test generator for emulating separate and integrated function of the packet management unit, the system interface, and a stream-processing unit and an evaluation software for checking and validating or not validating results. The system validation function relies, in a preferred embodiment, on comparing output results with criteria of the selected test code resulting in an indication of pass or failure of the test. In a preferred embodiment, the system also notifies to cause of failure.

The present invention discloses a true random number generator, which adopts an SP structure. The true random number generator comprises: n physical random sources, n digital processing modules, a diffusion layer, an aliasing layer and a post-processing module. The n physical random sources are used to generate n physical signals; the n digital processing modules are used to respectively match andreceive the n physical signals, and convert the n physical signals into n digital signals; the diffusion layer is used to receive the n digital signals, perform an exclusive-OR operation on the n digital signals, and output n-channel signals, wherein each-channel signals comprise physical signals of at least three physical random sources; the aliasing layer is used to receive the n-channel signals, mix the n-channel signals to realize repeated mix among the n-channel signals, and output mix results; and the post-processing module is used to receive the mix results output by the aliasing layer, and eliminate the deviation and dependence of the mix results. Thus, according to the random number generator disclosed by the present invention, the robustness of the random number generator can beimproved.

A computerized apparatus, method and computer product for generating tests. The apparatus comprises: a processor; an interface for obtaining a test template associated with a target computerized system, the test template comprises a template segment, the template segment comprising one or more instruction and one or more directives or control constructs related to the instructions; a test generator for generating a test associated with the template segment, said test generator comprises: a state simulator for determining a state of the target computerized system associated with an execution of the test; a template instruction or segment selector for selecting a template instruction or segment from the test template based on the state of the target system determined by said state simulator; and an instruction template segment generator configured to generate a multiplicity of instructions based on the state of the target computerized system and the template segment selected by said template instruction selector, wherein the test generator further comprises an instruction verifier configured to verify that a previously generated instruction is in line with the current state of the target computerized system and with the template instruction or segment selected by said template instruction or segment selector.

The invention provides a test circuit for testing a random number generator. The random number generator generates a first random number and stores it in a primary register, and then enables a test mode of a random number generator circuit; meanwhile, the random number generator further generates a group of random numbers and stores them in a secondary register, and then compares the random numberstored in the primary register with the random numbers stored in the secondary register; and an output signal of the random number generator circuit is regarded as an identification signal for judging whether operation of the random number generator is abnormal after the comparison is finished. The test circuit has the capability of continuous detection and is implemented in a hardware manner, sothat the test circuit has stable function and tamper-proof capability; and the test circuit can realize real-time testing of the random numbers generated by the random number generator, ensure that abnormal operation of the random number generator can be discovered in time when it occurs, and prevent the wrong random numbers from being used by the system.

The invention discloses a method and a system for realizing a multi-state-variable spatial-temporal chaotic complex pseudo-random code generator. A complex pseudo-random code generator composed of a series of sequentially-arranged and coupled complex state variables is built. First, different nonlinear functions are used to act on the current state values of the current positions and deviation positions of the real part and the imaginary part of the complex state variables, and a complex pseudo-random number sequence distributed over time is generated through mixed operation of addition, subtraction, multiplication or division with the diffusion coefficient as a weight and through state iteration. Then, a real pseudo-random number sequence is extracted from the real part and imaginary part taps of related variables, and binarization and mod-2 sum operation are performed to get a needed ranging code. The method and the system can be widely applied to satellite navigation systems, and can be used in all sorts of ranging systems, communication systems, broadcasting systems, control systems, and the like.