Method for evaluating FPGA (Field Programmable Gata Array) interconnection structure based on quantization of model

Abstract

The invention belongs to the electronic technology field, and in particular relates to a method for evaluating a FPGA (Field Programmable Gata Array) interconnection structure based on the quantization of a model. With the adoption of the method, the key factors capable of influencing the FPGA interconnection structure are quantitatively modeled, and an evaluation index based on average jumping number statistics is proposed on the basis of the model. Through the method, a large-scale FPGA interconnection structure space can be transversely searched within the short time, which is ensured to be basically consistent with the evaluation result obtained by the complete CAD process within the large scope.

Description

technical field [0001] The invention belongs to the field of electronic technology, relates to the design of an FPGA interconnection structure, and in particular relates to an FPGA interconnection structure evaluation method based on model quantification. technical background [0002] The hardware structure of modern FPGAs is becoming more and more complex, and the performance indicators for judging an FPGA chip are also varied. The purpose of the FPGA evaluation system is to evaluate the pros and cons of various FPGA hardware structure designs under the specified optimization goals, and finally use this to evaluate Guide the direction of hardware structure design and improvement. [0003] There are generally two traditional FPGA interconnect structure evaluation methods. One is to make trade-offs based on the experience of designers, and the other is to map a set of standard test circuits to the target structure through a complete CAD process to observe the performance. Bo...

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Problems solved by technology

Both methods have obvious shortcomings. The former cannot fully search and mine the potential FPGA interconnect structure, and the conclusion is more subjective; although the latter is accurate, it costs a lot of time, and it is impossible to conduct large-scale searches in practice.

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