4 results about "Loop analysis" patented technology

The application discloses a deep evaluation model and analysis method based on a computing power application scene, relates to the field of information technology and digital infrastructure planning, and specifically relates to a deep evaluation model and analysis method based on a computing power application scene. The model is constructed from ten dimensions of policy adaptability, regional industry integration, infrastructure support, construction operation mode, implementation strategy landing, operation and maintenance service, energy consumption control, cost return calculation, market supply and demand matching, and risk prevention and control system, taking actual landing requirements as the core. The importance of each item is graded and quantitatively scored, a feasibility determination standard is set, a full-closed-loop analysis system is formed, full-dimension and hierarchical deep analysis of the feasibility of computing power project construction and operation is realized, and support is provided for project decision-making.

The application provides a large-span steel structure closed loop analysis method and system, the analysis method comprises the following steps: constructing a finite element model and a design parameter space, identifying key design parameters and key regions affecting the first N modal strain energy of the structure through initial sensitivity and modal analysis, and establishing a mapping relationship between the two; according to the parameter sensitivity contribution, a non-uniform sampling strategy is formulated, the sampling is encrypted in the high sensitivity parameter subspace, an initial sample set is generated, based on the sample and the finite element response, a hierarchical mixed kernel Kriging surrogate model containing a global long-range kernel and a multi-region local short-range kernel is constructed, the local kernel weight increases as the input point approaches the high sensitivity region, the iteration termination and the performance limit state are set, the composite point adding criterion integrating the prediction variance, the limit state distance and the cross-validation error is used to iteratively update the sample and the model, and after the condition is met, the structure performance analysis is completed by using the surrogate model.

Provided are a compiling device, a compiling method, and a compiling program with which the speed of a program can be increased when a loop in a program includes an access to adjacent data. The compiling device includes: a loop analysis unit for determining whether vectorization of a loop in a source program is possible when an access to adjacent data is included in the loop; and a vectorization execution unit for generating an instruction for reading elements required for computation from a memory to a vector register when access to the adjacent data is included and the vectorization of the loop is possible.

A password function identification method based on cycle analysis and binary similar code analysis, simulates execution of binary function code to be analyzed, extracts dynamic execution characteristic sequence in the simulation execution process, calculates the Jaccard coefficient of the characteristic sequence and the characteristic of the password function in the characteristic library as a similarity score, takes the password function in the characteristic library with the highest similarity score to the function to be analyzed as the identification result, and realizes automatic detection of the password algorithm. The application guarantees the accuracy of password algorithm identification under different compiler versions and optimization options, considers the efficiency and scalability of analysis, improves the accuracy of standard password algorithm identification in such scenes, reduces the time overhead of the analysis process, and has the advantages of cross-compiler configuration and cross-architecture.