CN116661998A - Method for improving OPC operation efficiency - Google Patents
Method for improving OPC operation efficiency Download PDFInfo
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- CN116661998A CN116661998A CN202310626744.3A CN202310626744A CN116661998A CN 116661998 A CN116661998 A CN 116661998A CN 202310626744 A CN202310626744 A CN 202310626744A CN 116661998 A CN116661998 A CN 116661998A
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- opc
- improving
- available
- product chip
- operation efficiency
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004590 computer program Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000007423 decrease Effects 0.000 claims description 3
- 239000000047 product Substances 0.000 description 37
- 229920002120 photoresistant polymer Polymers 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 239000006227 byproduct Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000206 photolithography Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
-
- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03F—PHOTOMECHANICAL PRODUCTION OF TEXTURED OR PATTERNED SURFACES, e.g. FOR PRINTING, FOR PROCESSING OF SEMICONDUCTOR DEVICES; MATERIALS THEREFOR; ORIGINALS THEREFOR; APPARATUS SPECIALLY ADAPTED THEREFOR
- G03F1/00—Originals for photomechanical production of textured or patterned surfaces, e.g., masks, photo-masks, reticles; Mask blanks or pellicles therefor; Containers specially adapted therefor; Preparation thereof
- G03F1/36—Masks having proximity correction features; Preparation thereof, e.g. optical proximity correction [OPC] design processes
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03F—PHOTOMECHANICAL PRODUCTION OF TEXTURED OR PATTERNED SURFACES, e.g. FOR PRINTING, FOR PROCESSING OF SEMICONDUCTOR DEVICES; MATERIALS THEREFOR; ORIGINALS THEREFOR; APPARATUS SPECIALLY ADAPTED THEREFOR
- G03F7/00—Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printing surfaces; Materials therefor, e.g. comprising photoresists; Apparatus specially adapted therefor
- G03F7/70—Microphotolithographic exposure; Apparatus therefor
- G03F7/70425—Imaging strategies, e.g. for increasing throughput or resolution, printing product fields larger than the image field or compensating lithography- or non-lithography errors, e.g. proximity correction, mix-and-match, stitching or double patterning
- G03F7/70433—Layout for increasing efficiency or for compensating imaging errors, e.g. layout of exposure fields for reducing focus errors; Use of mask features for increasing efficiency or for compensating imaging errors
- G03F7/70441—Optical proximity correction [OPC]
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03F—PHOTOMECHANICAL PRODUCTION OF TEXTURED OR PATTERNED SURFACES, e.g. FOR PRINTING, FOR PROCESSING OF SEMICONDUCTOR DEVICES; MATERIALS THEREFOR; ORIGINALS THEREFOR; APPARATUS SPECIALLY ADAPTED THEREFOR
- G03F7/00—Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printing surfaces; Materials therefor, e.g. comprising photoresists; Apparatus specially adapted therefor
- G03F7/70—Microphotolithographic exposure; Apparatus therefor
- G03F7/70483—Information management; Active and passive control; Testing; Wafer monitoring, e.g. pattern monitoring
- G03F7/70491—Information management, e.g. software; Active and passive control, e.g. details of controlling exposure processes or exposure tool monitoring processes
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Treatment Of Semiconductor (AREA)
Abstract
The invention provides a method for improving OPC operation efficiency, which comprises the following steps: calculating to obtain the initial recommended number of the blade servers according to the area of the product chip; determining a range of available numbers of the blade servers from the initial recommended number; determining CPU resource usage and the optimal available quantity according to the available quantity and OPC running time within the range of the available quantity; wherein the result of multiplying the optimal available quantity by the OPC running time is minimized on the premise of meeting the running speed on the factory line. The invention solves the problem that the prior fixed number of blade servers are used for publishing the mask plate, which easily leads to lower CPU utilization rate.
Description
Technical Field
The invention relates to the technical field of semiconductors, in particular to a method for improving OPC operation efficiency.
Background
In the photolithography process, a pattern structure corresponding to a layout on a Mask, i.e., a Mask (Mask), is projected into a photoresist through an exposure system and forms a corresponding pattern structure in the photoresist, however, due to an optical reason or a chemical reaction of the photoresist in an exposure process, a deviation exists between the pattern structure formed in the photoresist and the pattern structure on the Mask, and the deviation needs to be modified in advance by OPC (optical proximity correction), and when the Mask after OPC correction is used for exposure, the pattern structure formed in the photoresist is in accordance with the designed pattern structure and meets the process production requirements.
When preparing the mask, the OPC hardware resource = OPC hierarchical number (CPU core number) occupied by product publishing and DMPL are calculated, wherein the OPC hierarchical number is determined by the process nodes and the process platform of the product; DMPL (number of days required to average out a layer) is related to the speed of the running on the factory line; how many CPU cores (blade servers) are determines how much OPC hardware resources a product publication occupies.
However, the prior art generally uses fixed blade servers based on process nodes and process platforms, and there is no in-depth study on OPC operational efficiency.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present invention is to provide a method for improving OPC operation efficiency, so as to solve the problem that the existing fixed number of blade servers are prone to lower CPU utilization rate when used for publishing masks.
To achieve the above and other related objects, the present invention provides a method for OPC operation efficiency, the method comprising:
calculating to obtain the initial recommended number of the blade servers according to the area of the product chip;
determining a range of available numbers of the blade servers from the initial recommended number;
determining CPU resource usage and the optimal available quantity according to the available quantity and OPC running time within the range of the available quantity;
wherein the result of multiplying the optimal available quantity by the OPC running time is minimized on the premise of meeting the running speed on the factory line.
Optionally, the product coreThe maximum value of the sheet area is 858mm 2 Wherein the length is 26mm and the width is 33mm.
Optionally, the calculation formula for calculating the initial recommended number of the blade servers according to the product chip area is as follows:
Num=A*S+B*S 1/2
wherein Num represents the initial recommended number, S represents the product chip area, a represents a first coefficient, and B represents a second coefficient.
Optionally, the first coefficient and the second coefficient are determined by using a first product chip and a second product chip, wherein the area of the first product chip is 2 times or more than that of the second product chip, and the total CPU utilization rate of the first product chip and the second product chip is 80% or more.
Optionally, the first product chip and the second product chip are selected from an OPC script running log.
Optionally, the range of available numbers of blade servers includes: 0.2-5 times the initial recommended number.
Optionally, the method for determining the CPU resource usage and the best available number according to the available number and the OPC runtime comprises:
and determining the CPU resource usage amount by utilizing the product of the available amount and the OPC running time within the range of the available amount, wherein the available amount is the optimal available amount when the CPU resource usage amount reaches the minimum value on the premise of meeting the running speed on the factory line.
Optionally, the OPC run time decreases as the number of blade servers increases.
Accordingly, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of improving OPC operation efficiency as described above.
Correspondingly, the terminal comprises a processor and a memory, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the terminal executes the method for improving OPC operation efficiency.
As described above, the method for improving OPC operation efficiency of the present invention determines the initial recommended number of the blade server by using the product chip area, determines the available number according to the initial recommended number, measures the CPU resource usage amount by using the available number and OPC running time, determines the best available number, and achieves the purpose of improving OPC operation efficiency by publishing the mask by using the best available number.
Drawings
FIG. 1 is a flow chart of a method for improving OPC operation efficiency in accordance with the present invention.
FIG. 2 shows a graph of OPC run time run versus number of blade server CPU cores of the present invention.
FIG. 3 is a graph showing the relationship between CPU resource usage and CPU core number according to the present invention.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention.
Please refer to fig. 1 to 3. It should be noted that, the illustrations provided in the present embodiment are merely schematic illustrations of the basic concepts of the present invention, and only the components related to the present invention are shown in the illustrations, rather than being drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of each component in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
As shown in fig. 1, the present embodiment provides a method for improving OPC operation efficiency, which includes:
calculating to obtain the initial recommended number of the blade servers according to the area of the product chip;
determining a range of available numbers of the blade servers from the initial recommended number;
determining CPU resource usage and the optimal available quantity according to the available quantity and OPC running time within the range of the available quantity;
wherein the result of multiplying the optimal available quantity by the OPC running time is minimized on the premise of meeting the running speed on the factory line.
In this embodiment, the chip (chip) area of each NTO product of each process platform is different, and when publishing, the number of large-area required blade servers (CPU cores) is large, and the number of small-area required CPU cores is small, so that the CPU cores can be allocated according to the chip area to avoid waste. OPC publishing can formulate a range of the number of CPU cores to use based on chip area to ensure higher CPU utilization and relatively shorter run time. In this embodiment, the product chip area is the layout area, and may be obtained from the GDS file.
Specifically, the maximum value of the chip area of the product is 858mm 2 Wherein the length is 26mm and the width is 33mm.
Specifically, the calculation formula for calculating the initial recommended number of the blade server according to the area of the product chip is as follows:
Num=A*S+B*S 1/2
wherein Num represents the initial recommended number, S represents the product chip area, a represents a first coefficient, and B represents a second coefficient.
Specifically, the first coefficient and the second coefficient are determined by using a first product chip and a second product chip, wherein the area of the first product chip is 2 times or more than that of the second product chip, and the total CPU utilization rate of the first product chip and the second product chip is 80% or more.
More specifically, the first product chip and the second product chip are selected from an OPC script running log.
In this embodiment, when determining the first coefficient a and the second coefficient B,the OPC script obtained from previous runs of a process platform (any of the process platforms requiring OPC, 65nm, 55nm, 50nm, 40nm, 28nm, or 22nm, etc.) allows two product chips to be selected from the log. Table 1 gives the relevant information of the two selected product chips, and the specific formula for obtaining the initial recommended number of CPU cores of the process platform by bringing the area and the number of allocated CPU into the above formula to obtain the first coefficient a=4.3 and the second coefficient b=2.87 is as follows: num=4.3×s+2.87×s 1 /2 It is assumed that the process platform has a product chip area of 8.41mm 2 The initial recommended number of corresponding blade servers may be calculated as 44.
Table 1:
chip area | 1.9mm*1.8mm=3.42mm 2 | 4.5mm*4.5mm=20.25mm 2 |
Distributing CPU number | 20 | 100 |
Total CPU utilization | ≥80% | ≥80% |
Specifically, the range of available numbers of blade servers includes: 0.2-5 times the initial recommended number.
Specifically, the method for determining the CPU resource usage and the optimal available quantity according to the available quantity and the OPC running time comprises the following steps: and determining the CPU resource usage amount by utilizing the product of the available amount and the OPC running time within the range of the available amount, wherein the CPU resource usage amount reaches the minimum value on the premise of meeting the running speed on the factory line, and the corresponding available amount is the optimal available amount.
Specifically, the OPC run time decreases as the number of blade servers increases.
In this embodiment, the CPU resource usage is measured as the product of the number of blade servers (CPU cores) and the OPC runtime (runtimes). And on the premise that the chip area of the product and the initial recommended number of the CPU cores are known, the CPU core number and the runtime are subjected to split test within the range of 0.2-5 times of the initial recommended number of the CPU cores.
In this embodiment, the number of CPU cores 20, 40, 60, and 100 is selected for testing, where the number of CPU cores 40, 60, 80, or 100 may not be in a completely linear relationship (as shown in fig. 2), and all of the number of CPU cores 40, 60, 80, or 100 may satisfy the DMPL requirement (i.e., satisfy the requirement of the running speed on the factory line), and when the number of CPU cores is 60, not only the DPML requirement but also the CPU resource usage amount is the lowest (as shown in fig. 3), i.e., the OPC operation efficiency is the highest, so, when the process platform performs the subsequent publishing on the same chip area, the CPU core usage amount may be reduced from 100 to 60, and after using the method provided in this embodiment, 300 CPU cores may support 5 publications, so that the OPC operation efficiency is improved by about 67%, and it should be noted that 100 is the number of CPU cores that are used fixedly before the process platform.
Accordingly, the present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of improving OPC operation efficiency as described above.
In particular, the computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disk-read-Only memory), magneto-optical disks, ROMs (read-Only memory), RAMs (random Access memory), EPROMs (erasable programmable read-Only memory), EEPROMs (electrically erasable programmable read-Only memory), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing executable instructions, and may be an article of manufacture, not having access to a computer device, or a component that has access to a computer device for use.
Correspondingly, the embodiment also provides a terminal, which comprises a processor and a memory, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the terminal executes the method for improving the OPC operation efficiency.
In summary, the method for improving the OPC operation efficiency of the present invention determines the initial recommended number of the blade server by using the product chip area, determines the available number according to the initial recommended number, measures the CPU resource usage by using the available number and the OPC running time, determines the best available number, and achieves the purpose of improving the OPC operation efficiency by publishing the mask by using the best available number. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (10)
1. A method for improving OPC operation efficiency, the method comprising:
calculating to obtain the initial recommended number of the blade servers according to the area of the product chip;
determining a range of available numbers of the blade servers from the initial recommended number;
determining CPU resource usage and the optimal available quantity according to the available quantity and OPC running time within the range of the available quantity;
wherein the result of multiplying the optimal available quantity by the OPC running time is minimized on the premise of meeting the running speed on the factory line.
2. The method for improving OPC operation efficiency as in claim 1, wherein the maximum value of the product chip area is 858mm 2 Wherein the length is 26mm and the width is 33mm.
3. The method for improving OPC operation efficiency according to claim 1 or 2, wherein the calculation formula for calculating the initial recommended number of the blade server according to the product chip area is:
Num=A*S+B*S 1/2
wherein Num represents the initial recommended number, S represents the product chip area, a represents a first coefficient, and B represents a second coefficient.
4. The method of improving OPC operation efficiency as recited in claim 3 wherein the first coefficient and the second coefficient are determined by a first product chip and a second product chip, wherein the area of the first product chip is 2 times or more larger than the area of the second product chip, and the total CPU utilization of both is 80% or more.
5. The method of claim 4, wherein the first product chip and the second product chip are selected from an OPC script running log.
6. The method of improving OPC operational efficiency of claim 1 wherein the range of available numbers of blade servers comprises: 0.2-5 times the initial recommended number.
7. The method of improving OPC operating efficiency of claim 6 wherein the method of determining CPU resource usage and determining the best available amount based on the available amount and OPC run time comprises:
and determining the CPU resource usage amount by utilizing the product of the available amount and the OPC running time within the range of the available amount, wherein the available amount is the optimal available amount when the CPU resource usage amount reaches the minimum value on the premise of meeting the running speed on the factory line.
8. The method of improving OPC operating efficiency of claim 7 wherein the OPC run time decreases as the number of blade servers increases.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements a method of improving the efficiency of OPC operations according to any of claims 1 to 8.
10. A terminal, characterized in that the terminal comprises a processor and a memory, the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the terminal executes the method for improving the OPC operation efficiency according to any one of claims 1-8.
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CN202310626744.3A CN116661998A (en) | 2023-05-30 | 2023-05-30 | Method for improving OPC operation efficiency |
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CN202310626744.3A CN116661998A (en) | 2023-05-30 | 2023-05-30 | Method for improving OPC operation efficiency |
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CN116661998A true CN116661998A (en) | 2023-08-29 |
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