KNL-based testing method and system

Abstract

The invention discloses a KNL-based testing method. The KNL-based testing method comprises the following steps: acquiring a testing task set by a main node, and distributing a testing task subset in the testing task set into a KNL secondary node; and when the KNL secondary node receives the testing task subset, distributing the testing tasks in the testing task subsets into a progress set, and calculating the testing task in each progress by an ant colony algorithm to obtain the testing result, wherein the progress number in the progress set is less than or equal to the task number of the testing task subset. Thus, after the main node acquires the testing task set, the testing tasks are distributed to a KNL secondary node set, the KNL secondary node in the KNL secondary node set receives the testing task subset, the testing task in each progress is calculated by the ant colony algorithm to obtain the counting result, the testing tasks are processed in parallel through a plurality of KNL servers, the calculation load is improved, and calculation is conducted by the ant colony algorithm, in conclusion, the processing speed of the testing tasks is increased.

Description

technical field [0001] The invention relates to the field of high-performance computing, in particular to a KNL-based testing method and system. Background technique [0002] With the development of integrated circuit technology, SOC (System on Chip, system-on-chip) based on intellectual property core multiplexing technology is developing rapidly. However, as the SOC functions become more and more complex, the types and quantities of intellectual property cores integrated in the SOC are increasing, which makes the SOC test time longer and higher, and the test cost is also higher. The test scheduling problem is an important part of the SOC test, and has become the primary problem to be solved urgently in the SOC system level test. [0003] The test scheduling problem has seriously constrained the development of SOC. This problem has been proved to be an NP-complete problem (Non-deterministic Polynomia, a non-deterministic problem of polynomial complexity). In the prior art, ...

AI Technical Summary

Problems solved by technology

[0003] The test scheduling problem has seriously constrained the development of SOC. This problem has been proved to be an NP-complete problem (Non-deterministic Polynomia, a non-deterministic problem of polynomial complexity). In the prior art, most researchers have introduced genetic algorithms and integer linear However, these algorithms have certain problems in algorithm complexity, algorithm stability, solution efficiency and solution results, which can be attributed to the shortcomings of the algorithm itself and the limitations of the modeling method; at the same time, due to Due to the limitations of hardware devices, such as computers, the processing performance has also encountered bottlenecks, and it is difficult to further shorten the calculation time

Images