CN105653776A - Extraction method and system of long high-speed signal line S parameter - Google Patents
Extraction method and system of long high-speed signal line S parameter Download PDFInfo
- Publication number
- CN105653776A CN105653776A CN201511001806.3A CN201511001806A CN105653776A CN 105653776 A CN105653776 A CN 105653776A CN 201511001806 A CN201511001806 A CN 201511001806A CN 105653776 A CN105653776 A CN 105653776A
- Authority
- CN
- China
- Prior art keywords
- model
- parameter
- signal line
- velocity signal
- segmented
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
Landscapes
- Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an extraction method and system of a long high-speed signal line S parameter. The extraction method of the long high-speed signal line S parameter is characterized by comprising the following steps: 1: converting a target long high-speed signal line into a HFSS (High Frequency Structure Simulator) from a PCB (Printed Circuit Board), and extracting a target long high-speed signal line model; 2: segmenting the model into a plurality of subsection models, and extracting the S parameter of each section of model; and 3: carrying out data integration on the extracted S parameter of the subsection model to obtain the S parameter of a target model. Simplification is carried out from the view of the model to improve simulation speed. After the model is segmented by section, the grid number of a single model is reduced, the calculation time of the single model is shortened, a plurality of models can be simultaneously segmented so as to greatly improve simulation speed; and meanwhile, the grid number of the single model is reduced, and memory required for finite element calculation and the requirements of CPU (Central Processing Unit) performance are lowered so as to lower requirements on hardware by the simulation of a low-complexity model.
Description
Technical field
The present invention relates to Signal Integrity Design field, particularly relate to one and grow tall velocity signal line S parameter extracting method and system.
Background technology
The grow tall S parameter of velocity signal line of PCB can evaluate the performance that this part walks line. By the evaluation to performance, contrast with the expection of planner, so that it is determined that walk the scheme of line or scheme is revised. At present, when the S parameter extraction of the velocity signal line that grows tall adopting HFSS to carry out pcb board, when the HPC module of ANSYS adopts multi-core computer to carry out high-performance calculation emulation, frequency can be adopted the method for parallel computation, it is to increase simulation efficiency, reduce simulation time.
But, HPC module wouldn't support parallel patition grid, and the core of HPC module is exactly the performance of maximum using computer, each frequency of parallel computation, therefore hardware requires high. Thus HPC module is adopted cannot to reduce the time needed for stress and strain model, parallel computation when simultaneously being emulated by frequency, the performance requriements of computer is higher, namely need computer CPU to be more than 16 cores.
Therefore how can shorten velocity signal line S parameter of growing tall and extract required time, reduce simulation calculation and the requirement of hardware is become the problem that those skilled in the art need solution badly.
Summary of the invention
The technical problem to be solved in the present invention is, overcomes the above-mentioned defect that prior art exists, it is provided that grow tall velocity signal line S parameter extracting method and system, it is possible to shortens velocity signal line S parameter of growing tall and extracts required time, reduces simulation calculation to the requirement of hardware.
The extracting method of velocity signal line S parameter of growing tall provided by the invention, comprises one and grows tall velocity signal line S parameter extracting method, and described method comprises the following steps:
Step 1: the velocity signal line that target grown tall is transformed in HFSS from PCB, and extract target and grow tall velocity signal line model;
Step 2: model cutting is become some segmented models, and extract the S parameter of every segment model;
Step 3: the segmented model S parameter extracted is carried out data integration, obtains the S parameter of target model.
Preferably, in described step 2, model cutting is become some segmented models, is specially: model cutting point selection walks line rule and the position of level trend at model.
Preferably, the tangent plane of described cut point is perpendicular to model.
Preferably, in described step 3, the segmented model S parameter extracted is carried out data integration, it is specially: according to port numbers, each segmented model is connected, namely the sending end of receiving end as the 2nd model of rear first model is cut, the receiving end of the 2nd model connects some segmented models after segmentation get up as the sending end of the 3rd model successively, the sending end of first model is as the sending end of whole link, the receiving end of last model is as the receiving end of whole link, thus the S parameter after cutting is connected into an entirety, obtain target to grow tall the S parameter of velocity signal line.
The present invention also provides one to grow tall velocity signal line S parameter extraction system, comprises model and sets up module, model segmentation module and data processing module, wherein:
Module set up by model, is transformed in HFSS from PCB for the velocity signal line that target grown tall, and extracts target and grow tall velocity signal line model;
Model segmentation module, for model cutting becomes some segmented models, and extracts the S parameter of every segment model;
Data processing module, for the segmented model S parameter extracted is carried out data integration, obtains the S parameter of target model.
Preferably, in described model segmentation module, model cutting is become some segmented models, is specially: model cutting point selection walks line rule and the position of level trend at model.
Preferably, the tangent plane of described cut point is perpendicular to model.
Preferably, the segmented model S parameter extracted is carried out data integration by described data processing module, it is specially: according to port numbers, each segmented model is connected, namely the sending end of receiving end as the 2nd model of rear first model is cut, the receiving end of the 2nd model connects some segmented models after segmentation get up as the sending end of the 3rd model successively, the sending end of first model is as the sending end of whole link, the receiving end of last model is as the receiving end of whole link, thus the S parameter after cutting is connected into an entirety, obtain target to grow tall the S parameter of velocity signal line.
The present invention provides one to grow tall velocity signal line S parameter extracting method and system, simplifies from the angle of model, it is to increase emulation speed. After segmentation cutting model, the lattice number of single model reduces, and the computing time of single model reduces, and multiple model can carry out simultaneously, thus increases substantially emulation speed; The lattice number of single model reduces simultaneously, and the requirement of internal memory required when carrying out FEM (finite element) calculation and cpu performance reduces, thus reduce complex model emulate the requirement to hardware.
Accompanying drawing explanation
Fig. 1 is the schema of a kind of velocity signal line S parameter extracting method that grows tall provided by the invention;
Fig. 2 is the PCB figure of a kind of embodiment provided by the invention;
Fig. 3 is the model schematic of a kind of velocity signal line that grows tall in HFSS provided by the invention;
Fig. 4 grows tall segmented model comparison diagram in ADS software after velocity signal line model and segmentation for original object that Fig. 2 provides
Fig. 5 grows tall segmented model difference S parameter comparison diagram after velocity signal line model and segmentation for original object that Fig. 2 provides;
Fig. 6 is the extraction system structural representation of a kind of velocity signal line S parameter of growing tall provided by the invention.
Embodiment
In order to make those skilled in the art understand the technical scheme of the present invention better, below in conjunction with accompanying drawing, the present invention is described in further detail.
See Fig. 1-5, Fig. 1 is the schema of the extracting method of a kind of velocity signal line S parameter of growing tall provided by the invention, Fig. 2 is the PCB figure of a kind of embodiment provided by the invention, Fig. 3 is the model schematic of a kind of velocity signal line that grows tall in HFSS provided by the invention, Fig. 4 grows tall segmented model comparison diagram in ADS software after velocity signal line model and segmentation for original object that Fig. 2 provides, and Fig. 5 grows tall velocity signal line model segmented model difference S parameter comparison diagram rear with segmentation for original object that Fig. 2 provides.
The extracting method of a kind of velocity signal line S parameter of growing tall provided by the invention, comprises one and grows tall velocity signal line S parameter extracting method, and described method comprises the following steps:
Step 1: the velocity signal line that target grown tall is transformed in HFSS from PCB, and extract target and grow tall velocity signal line model.
Utilize ANSYS company software being transformed in HFSS with the grow tall PCB figure of Cadence of velocity signal line of target by SiWave software, SiWave fetching portion from the PCB figure of Cadence imports in HFSS with the part of the long high speed line of target, and extracts target and grow tall velocity signal line model.
Step 2: model cutting is become some segmented models, and extract the S parameter of every segment model.
Select suitable cut point, the velocity signal line model that manually target grown tall cuts, the model of complexity is divided into some simple segmented models, the port of the signal transmission and receiving end that carry out definition segment model respectively is arranged, the simulating signal carrying out segmented model sends and the emulation assessment received, and by HFSS software simulating to the extraction of S parameter result.
Step 3: the segmented model S parameter extracted is carried out data integration, obtains the S parameter of target model.
Through the S parameter of stage extraction, in third party's software ADS software, carry out data integration after derivation, the S parameter of the model after segmentation is connected to one piece, obtain target and grow tall the S parameter of velocity signal line.
Preferably, the segmented model S parameter extracted is carried out data integration, it is specially: according to port numbers, each segmented model is connected, namely the sending end of receiving end as the 2nd model of rear first model is cut, the receiving end of the 2nd model connects some segmented models after segmentation get up as the sending end of the 3rd model successively, the sending end of first model is as the sending end of whole link, the receiving end of last model is as the receiving end of whole link, thus the S parameter after cutting is connected into an entirety, obtain target and grow tall the S parameter of velocity signal line.
As shown in Figure 4, order according to model cutting, schematic diagram built by ADS software, in figure, top is that original object is grown tall velocity signal line model, in figure, bottom is the overall link model of segmented model after segmentation, lower part 3 rectangular blocks represent 3 sections of S parameter models walking line, according to port numbers, each segmented model is connected to get up, namely the receiving end of the rear model 1 of cutting is as the sending end of model 2, the receiving end of model 2, as the sending end of model 3, the sending end of model 1 is as the sending end of whole link, the receiving end of model 3 is as the receiving end of whole link, by ideal connection line, port is connected with simulation port with 3 modules, simulation port and router module, thus the S parameter after cutting is connected into an entirety, obtain target to grow tall the S parameter of velocity signal line.
Current High-Speed PCB walks line, difference form is all adopted to walk line, namely 2 high speeds meeting certain wiring rule are walked line and are jointly transmitted same signal as one group of line, and the transmission of signal adopts difference signal form, namely 2 high speed line adopt amplitude equal, the common transmission signal of the form of opposite in phase, by receiving end to the process of difference signal, it is possible to weaken even eliminate external environment on the impact of signal. S parameter is in Signal transmissions a important parameter. For segment length's height velocity signal line, by S parameter, the performance of its transmission signal is weighed. Difference S parameter, i.e. corresponding difference transmission lines. Fig. 5 is to for original object is grown tall, rear segmented model difference S parameter contrasts velocity signal line model with splitting. Having the curve of ripple to be in figure adopts the present embodiment to emulate the S parameter curve obtained, and smooth curve is original method and emulates the curve obtained. See Fig. 5, it has been found that difference S parameter is substantially identical, and simulation accuracy is more or less the same, the contrast of concrete simulation scenarios sees the following form.
Wherein, lattice number refers to and carries out in analysis process at HFSS to model, adopt finite element method, model is carried out a grid iteration progressively and becomes close process, until lattice number increases to meets basic specification, the parameter of each net point can be calculated by HFSS at each calculation level (Frequency point), therefore model is more big more complicated, grid iterative steps is more many, and the stress and strain model time is more long and lattice number is more many; Lattice number is more many can cause emulation consuming time more long.
It should be noted that, during this cutting simulation, it is emulate parallel in same station server for the model 1,2,3 after cutting simultaneously.
As can be seen from the above table, the extracting method of velocity signal line S parameter of growing tall provided by the invention is adopted to carry out parallel artificial, it is possible to save the time of 50% when ensureing precision. And at present for grid Loop partition process, HFSS does not support parallel computation, current each version HFSS can only be optimized for iterative calculation method, or mesh pattern is optimized, and it is consuming time no matter whether identical version adopt HPC all cannot reduce stress and strain model.
Above-described embodiment is the angle from model simplifies, it is to increase emulation speed. After segmentation cutting model, the lattice number of single model reduces, and the computing time of single model reduces, and multiple model can carry out simultaneously, thus increases substantially emulation speed; The lattice number of single model reduces simultaneously, and the requirement of internal memory required when carrying out FEM (finite element) calculation and cpu performance reduces, thus reduce complex model emulate the requirement to hardware.
Further model cutting mode will be further detailed below.
In described step 2, model cutting is become some segmented models, is specially: model cutting point selection walks line rule and the position of level trend at model. Cut point is selected walking line gently without the position of setback and level trend. As, cut point exist snakelike walk line region, so due to snakelike walk in line process, the high speed form of difference high speed line is destroyed, impedance is caused to there is point of discontinuity, cause occurring that signal reflects, and reflection energy will soon incoming terminal, ensure cut point walking line shoulder, even if there is reflection, the problems such as crosstalk, the line of walking also having a section relatively long exists so that undesired signal decays to situation about can ignore.
Further, the tangent plane of described cut point is perpendicular to model. The port of such cut point adds, and can directly use global coordinate system, simple to operate.
See Fig. 2-6, Fig. 2 is the PCB figure of a kind of embodiment provided by the invention, Fig. 3 is the model schematic of a kind of velocity signal line that grows tall in HFSS provided by the invention, a kind of embodiment result parameter integration contrast schematic diagram that Fig. 4 provides for Fig. 2, a kind of embodiment difference S parameter that Fig. 5 provides for Fig. 2 integrates comparison diagram, and Fig. 6 is the extraction system structural representation of a kind of velocity signal line S parameter of growing tall provided by the invention.
Present invention also offers one to grow tall velocity signal line S parameter extraction system, comprise model and set up module, model segmentation module and data processing module, wherein:
Module 1 set up by model, is transformed in HFSS from PCB for the velocity signal line that target grown tall, and extracts target and grow tall velocity signal line model;
Model segmentation module 2, for model cutting becomes some segmented models, and extracts the S parameter of every segment model;
Data processing module 3, for the segmented model S parameter extracted is carried out data integration, obtains the S parameter of target model.
Model is set up module 1 and is utilized ANSYS company software being transformed in HFSS with the grow tall PCB figure of Cadence of velocity signal line of target by SiWave software, SiWave fetching portion from the PCB figure of Cadence imports in HFSS with the part of the long high speed line of target,, and extract target and grow tall velocity signal line model. Model segmentation module 2, for selecting suitable cut point, the velocity signal line model that manually target grown tall cuts, the model of complexity is divided into some simple segmented models, the port of the signal transmission and receiving end that carry out definition segment model respectively is arranged, the simulating signal carrying out segmented model sends and the emulation assessment received, and by HFSS software simulating to the extraction of S parameter result. . Model processing modules 3, through the S parameter of stage extraction, carries out data integration at third party's software after derivation, and the S parameter of the model after segmentation is connected to one piece, obtains target and grows tall the S parameter of velocity signal line.
Preferably, the segmented model S parameter extracted is carried out data integration, it is specially: according to port numbers, each segmented model is connected, namely the sending end of receiving end as the 2nd model of rear first model is cut, the receiving end of the 2nd model connects some segmented models after segmentation get up as the sending end of the 3rd model successively, the sending end of first model is as the sending end of whole link, the receiving end of last model is as the receiving end of whole link, thus the S parameter after cutting is connected into an entirety, obtain target and grow tall the S parameter of velocity signal line.
As shown in Figure 4, order according to model cutting, schematic diagram built by ADS software, in figure, top is that original object is grown tall velocity signal line model, in figure, bottom is the overall link model of segmented model after segmentation, lower part 3 rectangular blocks represent 3 sections of S parameter models walking line, according to port numbers, each segmented model is connected to get up, namely the receiving end of the rear model 1 of cutting is as the sending end of model 2, the receiving end of model 2, as the sending end of model 3, the sending end of model 1 is as the sending end of whole link, the receiving end of model 3 is as the receiving end of whole link, by ideal connection line, port is connected with simulation port with 3 modules, simulation port and router module, thus the S parameter after cutting is connected into an entirety, obtain target to grow tall the S parameter of velocity signal line.
Current High-Speed PCB walks line, difference form is all adopted to walk line, namely 2 high speeds meeting certain wiring rule are walked line and are jointly transmitted same signal as one group of line, and the transmission of signal adopts difference signal form, namely 2 high speed line adopt amplitude equal, the common transmission signal of the form of opposite in phase, by receiving end to the process of difference signal, it is possible to weaken even eliminate external environment on the impact of signal. S parameter is in Signal transmissions a important parameter.For segment length's height velocity signal line, by S parameter, the performance of its transmission signal is weighed. Difference S parameter, i.e. corresponding difference transmission lines. Fig. 5 is to for original object is grown tall, rear segmented model difference S parameter contrasts velocity signal line model with splitting. Having the curve of ripple to be in figure adopts the present embodiment to emulate the S parameter curve obtained, and smooth curve is original method and emulates the curve obtained.
See Fig. 5, it has been found that difference S parameter is substantially identical, and simulation accuracy is more or less the same, the contrast of concrete simulation scenarios sees the following form.
Wherein, lattice number refers to and carries out in analysis process at HFSS to model, adopt finite element method, model is carried out a grid iteration progressively and becomes close process, until lattice number increases to meets basic specification, the parameter of each net point can be calculated by HFSS at each calculation level (Frequency point), therefore model is more big more complicated, grid iterative steps is more many, and the stress and strain model time is more long and lattice number is more many; Lattice number is more many can cause emulation consuming time more long.
It should be noted that, during this cutting simulation, it is emulate parallel in same station server for the model 1,2,3 after cutting simultaneously.
As can be seen from the above table, the extracting method of velocity signal line S parameter of growing tall provided by the invention is adopted to carry out parallel artificial, it is possible to save the time of 50% when ensureing precision. And at present for grid Loop partition process, HFSS does not support parallel computation, current each version HFSS can only be optimized for iterative calculation method, or mesh pattern is optimized, and it is consuming time no matter whether identical version adopt HPC all cannot reduce stress and strain model.
Above-described embodiment is the angle from model simplifies, it is to increase emulation speed. After segmentation cutting model, the lattice number of single model reduces, and the computing time of single model reduces, and multiple model can carry out simultaneously, thus increases substantially emulation speed; The lattice number of single model reduces simultaneously, and the requirement of internal memory required when carrying out FEM (finite element) calculation and cpu performance reduces, thus reduce complex model emulate the requirement to hardware.
Further model cutting module 2 will be further detailed below.
In model cutting module 2, model cutting is become some segmented models, is specially: model cutting point selection walks line rule and the position of level trend at model. Cut point is selected walking line gently without the position of setback and level trend. As, cut point exist snakelike walk line region, so due to snakelike walk in line process, the high speed form of difference high speed line is destroyed, impedance is caused to there is point of discontinuity, cause occurring that signal reflects, and reflection energy will soon incoming terminal, ensure cut point walking line shoulder, even if there is reflection, the problems such as crosstalk, the line of walking also having a section relatively long exists so that undesired signal decays to situation about can ignore.
Further, the tangent plane of described cut point is perpendicular to model. The port of such cut point adds, and can directly use global coordinate system, simple to operate.
Above one provided by the present invention is grown tall velocity signal line S parameter extracting method and system is described in detail. Apply specific case herein the principle of the present invention and enforcement mode to have been set forth, illustrating just for helping the core concept understanding the present invention of above embodiment. , it is also possible to the present invention carries out some improvement and modification, it is noted that for those skilled in the art, under the premise without departing from the principles of the invention these improve and modify in the protection domain also falling into the claims in the present invention.
Claims (8)
1. the velocity signal line S parameter extracting method that grows tall, it is characterised in that, described method comprises the following steps:
Step 1: the velocity signal line that target grown tall is transformed in HFSS from PCB, and extract target and grow tall velocity signal line model;
Step 2: model cutting is become some segmented models, and extract the S parameter of every segment model;
Step 3: the segmented model S parameter extracted is carried out data integration, obtains the S parameter of target model.
2. the velocity signal line S parameter extracting method that grows tall according to claim 1, it is characterised in that, in described step 2, model cutting is become some segmented models, is specially: model cutting point selection walks line rule and the position of level trend at model.
3. the velocity signal line S parameter extracting method that grows tall according to claim 2, it is characterised in that, the tangent plane of described cut point is perpendicular to model.
4. the velocity signal line S parameter extracting method that grows tall according to the arbitrary item of claims 1 to 3, it is characterized in that, in described step 3, the segmented model S parameter extracted is carried out data integration, it is specially: according to port numbers, each segmented model is connected, namely the sending end of receiving end as the 2nd model of rear first model is cut, the receiving end of the 2nd model connects some segmented models after segmentation get up as the sending end of the 3rd model successively, the sending end of first model is as the sending end of whole link, the receiving end of last model is as the receiving end of whole link, thus the S parameter after cutting is connected into an entirety, obtain target to grow tall the S parameter of velocity signal line.
5. a velocity signal line S parameter extraction system of growing tall, it is characterised in that, comprise model and set up module, model segmentation module and data processing module, wherein:
Module set up by model, is transformed in HFSS from PCB for the velocity signal line that target grown tall, and extracts target and grow tall velocity signal line model;
Model segmentation module, for model cutting becomes some segmented models, and extracts the S parameter of every segment model;
Data processing module, for the segmented model S parameter extracted is carried out data integration, obtains the S parameter of target model.
6. velocity signal line S parameter extraction system of growing tall according to claim 5, it is characterised in that, in described model segmentation module, model cutting is become some segmented models, is specially: model cutting point selection walks line rule and the position of level trend at model.
7. velocity signal line S parameter extraction system of growing tall according to claim 6, it is characterised in that, the tangent plane of described cut point is perpendicular to model.
8. velocity signal line S parameter extraction system of growing tall according to the arbitrary item of claim 5 to 7, it is characterized in that, the segmented model S parameter extracted is carried out data integration by described data processing module, it is specially: according to port numbers, each segmented model is connected, namely the sending end of receiving end as the 2nd model of rear first model is cut, the receiving end of the 2nd model connects some segmented models after segmentation get up as the sending end of the 3rd model successively, the sending end of first model is as the sending end of whole link, the receiving end of last model is as the receiving end of whole link, thus the S parameter after cutting is connected into an entirety, obtain target to grow tall the S parameter of velocity signal line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511001806.3A CN105653776A (en) | 2015-12-29 | 2015-12-29 | Extraction method and system of long high-speed signal line S parameter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511001806.3A CN105653776A (en) | 2015-12-29 | 2015-12-29 | Extraction method and system of long high-speed signal line S parameter |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105653776A true CN105653776A (en) | 2016-06-08 |
Family
ID=56476977
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201511001806.3A Pending CN105653776A (en) | 2015-12-29 | 2015-12-29 | Extraction method and system of long high-speed signal line S parameter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105653776A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711039A (en) * | 2018-12-24 | 2019-05-03 | 浪潮电子信息产业股份有限公司 | Signal simulation method, apparatus, electronic equipment and computer readable storage medium |
| WO2022133689A1 (en) * | 2020-12-21 | 2022-06-30 | 北京小米移动软件有限公司 | Model transmission method, model transmission device, and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393579A (en) * | 2008-11-10 | 2009-03-25 | 福建星网锐捷网络有限公司 | Emulation design method and system for high speed interconnection system |
| CN101452496A (en) * | 2007-12-06 | 2009-06-10 | 英业达股份有限公司 | Method for acquiring wiring path of signal line |
-
2015
- 2015-12-29 CN CN201511001806.3A patent/CN105653776A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101452496A (en) * | 2007-12-06 | 2009-06-10 | 英业达股份有限公司 | Method for acquiring wiring path of signal line |
| CN101393579A (en) * | 2008-11-10 | 2009-03-25 | 福建星网锐捷网络有限公司 | Emulation design method and system for high speed interconnection system |
Non-Patent Citations (1)
| Title |
|---|
| 何剑春等: "多层P_G网络内RLC信号线的参数提取和时序分析", 《浙江工业大学学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711039A (en) * | 2018-12-24 | 2019-05-03 | 浪潮电子信息产业股份有限公司 | Signal simulation method, apparatus, electronic equipment and computer readable storage medium |
| WO2022133689A1 (en) * | 2020-12-21 | 2022-06-30 | 北京小米移动软件有限公司 | Model transmission method, model transmission device, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108764317A (en) | A kind of residual error convolutional neural networks image classification method based on multichannel characteristic weighing | |
| CN111159897B (en) | Target optimization method and device based on system modeling application | |
| CN104077138A (en) | Multiple core processor system for integrating network router, and integrated method and implement method thereof | |
| CN110765723B (en) | Routing modeling optimization method and device based on BP neural network | |
| CN102708232A (en) | Processing method and device for distributed simulation data | |
| CN105631068A (en) | Grid boundary condition processing method of unstructured grid CFD computation | |
| CN112258515B (en) | Graph segmentation method based on fixed vertex | |
| CN103885829A (en) | Virtual machine cross-data-center dynamic migration optimization method based on statistics | |
| US11789733B2 (en) | Instruction processing apparatus, acceleration unit, and server | |
| CN110941934A (en) | FPGA prototype verification development board segmentation simulation system, method, medium and terminal | |
| CN106997414A (en) | A kind of multidisciplinary collaboration Simulation Methods based on reflective memory network | |
| CN105653776A (en) | Extraction method and system of long high-speed signal line S parameter | |
| CN114202027A (en) | Execution configuration information generation method, model training method and device | |
| CN109657711A (en) | A kind of image classification method, device, equipment and readable storage medium storing program for executing | |
| CN114880337B (en) | Map data integrated updating method, device, equipment and storage medium | |
| CN105488288B (en) | A kind of NS3 Parallel Simulations analogue system | |
| CN105955896B (en) | A kind of restructural DBF hardware algorithm accelerator and control method | |
| CN111600735A (en) | Sample data processing method, system and device | |
| CN101527662B (en) | Method for optimizing high-speed channel and device thereof | |
| WO2018006696A1 (en) | Card, method and system for equalizing memory utilization rate of card | |
| US8281263B2 (en) | Propagating design tolerances to shape tolerances for lithography | |
| CN110991088A (en) | Cable model construction method and system, terminal device and storage medium | |
| CN110765715A (en) | GPU chip-oriented rendering output unit performance simulation method and platform | |
| Zhang et al. | Distributed parallel computing technique for EM modeling | |
| CN115358173A (en) | Electromagnetic modeling method and system for chip packaging power supply network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160608 |
|
| RJ01 | Rejection of invention patent application after publication |