Fast calculation method of global structural susceptibility factor based on probability model
A probabilistic model and fast calculation technology, applied in the field of probabilistic model establishment, which can solve problems such as time-consuming, high cost, and simulator error injection.
Active Publication Date: 2019-01-11
SHANGHAI MARITIME UNIVERSITY
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[0003] However, the heterogeneous multi-core processor with CPU and GPU cooperative operation is the current processor design trend. Therefore, in order to evaluate the reliability of the multi-core structure composed of diverse components such as CPU, GPU, Cache and main memory, it takes a long time and costs High emulator error injection or laser injection
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[0028] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.
[0029] see figure 1 -3. It should be noted that the diagrams provided in this embodiment are only schematically illustrating the basic idea of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the components in actual implementation. Dimensional drawing, the type, quantity and proportion of each component can be changed arbitrarily du...
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The invention provides a fast calculation method of a global structure susceptibility factor based on a probability model. The method at least comprises the following steps of: fast evaluating the AVFof the first component to be predicted according to a predefined local AVF operation rule, obtaining the local AVF value of the first component to be predicted, wherein the first component to be predicted is a local component, and the local component is a calculation component or a storage component; evaluating an error input / output shielding factor IOM between at least two components to be predicted according to a predetermined IOM operation rule to obtain IOM values between the at least two components to be predicted, wherein the at least two components to be predicted are divided into oneor more of a communication component, a storage component and an operation component; calculating a global AVF value according to a local AVF value of the first to-be-predicted component and an IOM value between the at least two to-be-predicted components based on a preset data dependency relationship between the first to-be-predicted component and the at least two to-be-predicted components.
Description
technical field [0001] The invention relates to the technical field of establishing probability models, in particular to a method for quickly calculating global structural susceptibility factors based on probability models. Background technique [0002] With the shrinking process size, multi-core processors have become the mainstream of current design. However, while multi-core processors gain performance and functionality, they also face the challenge of soft errors caused by high-energy particles causing transient bit flips. To design reliable multi-core processors that meet market and application requirements, efficient and accurate structural-level reliability assessment methods are crucial. Architecture Vulnerability Factor (AVF for short) is a typical evaluation index for processor reliability evaluation. Currently, Architectural Correct Execution (ACE) analysis methods and error injection statistical methods are often used in CPU single-core (e.g., alpha, ARM) or GP...
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IPC IPC(8): G06F17/50
CPCG06F30/30G06F2115/10
Inventor 焦佳佳韩德志付宇卓
Owner SHANGHAI MARITIME UNIVERSITY