In the course of Integrated Circuit (IC) development, functional density (i.e., the number of interconnected devices per chip area) has generally increased while geometry size (i.e., the smallest component or line that can be created using a fabrication process) has decreased. This scaling down process generally provides benefits by increasing production efficiency and lowering associated costs. At the same time, the scaling down process also increases the significance of process-induced inconsistency of the components, between their actual sizes and shapes as manufactured in a real IC and those as designed in an Electronic Design Automation (EAD) tool.
One or more embodiments are illustrated by way of examples, and not by limitation, in the figures of the accompanying drawings, wherein elements having the same reference numeral designations represent like elements throughout and wherein:
It is understood that the following disclosure provides many different embodiments, or examples, for implementing different features of the disclosure. Specific examples of components and arrangements are described below to simplify the present disclosure. These are, of course, merely examples and are not intended to be limiting. In accordance with the standard practice in the industry, various features in the drawings are not drawn to scale and are used for illustration purposes only.
Moreover, spatially relative terms, for example, “lower,” “upper,” “horizontal,” “vertical,” “above,” “below,” “up,” “down,” “top,” “bottom,” “left,” “right,” etc. as well as derivatives thereof (e.g., “horizontally,” “downwardly,” “upwardly,” etc.) are used for ease of the present disclosure of one features relationship to another feature. The spatially relative terms are intended to cover different orientations of the device including the features.
Computer system 200 includes a controller 210 and a computer readable storage medium 220 encoded with, i.e., storing, a computer program code 222, i.e., a set of executable instructions. The controller 210 is electrically coupled to the computer readable storage medium 220. The controller 210 is configured to execute the computer program code 222 encoded in the computer readable storage medium 220 in order to cause the computer to be usable as a layout design analyzer and/or parasitic extraction analyzer for performing the bias-adjustment and/or a parasitic extraction according to the bias-adjusted layout design of the conductive feature as depicted in
In some embodiments, the controller 210 is a central processing unit (CPU), a multi-processor, a distributed processing system, an application specific integrated circuit (ASIC), and/or a suitable processing unit.
In some embodiments, the computer readable storage medium 220 is an electronic, magnetic, optical, electromagnetic, infrared, and/or a semiconductor system (or apparatus or device). For example, the computer readable storage medium 220 includes a semiconductor or solid-state memory, a magnetic tape, a removable computer diskette, a random access memory (RAM), a read-only memory (ROM), a rigid magnetic disk, and/or an optical disk. In some embodiments using optical disks, the computer readable storage medium 220 includes a compact disk-read only memory (CD-ROM), a compact disk-read/write (CD-R/W), and/or a digital video disc (DVD).
In some embodiments, the storage medium 220 stores the computer program code 222 configured to cause the computer system 200 to perform a method as depicted in
Further, the computer system includes an input/output interface 230 and a display 240. The input/output interface 230 is coupled to the controller 210 and allows an IC designer or a simulation model designer to manipulate the computer system 200 in order to perform the methods depicted in
In at least some embodiments, the computer system 200 also includes a network interface 250 coupled to the controller 210. The network interface 250 allows the computer system 200 to communicate with a network 260, to which one or more other computer systems are connected. The network interface includes wireless network interfaces such as BLUETOOTH, WIFI, WIMAX, GPRS, or WCDMA; or wired network interface such as ETHERNET, USB, or IEEE-1394. In some embodiments, the method of
In operation 310, the computer system 200 reads or receives a layout design 110 (also depicted in
In at least one embodiment having two sets of predetermined criteria 226a and 226b of the layout design, the process moves to operation 330 if execution of computer program code 222 by computer system 200 determines that the geometry configuration of the layout design 110 of the conductive feature 120 is within a first set of predetermined criteria 226a. In operation 330, the bias-adjusted layout design 130 is generated according to a first layout bias rule 227a corresponding to the first set of predetermined criteria 226a after execution of computer program code 222 by computer system 200 determines that the geometry configuration of the layout design 110 of the conductive feature 120 is within the first set of predetermined criteria 226a. The process moves to operation 340 after execution of computer program code 222 by computer system 200 determines that the geometry configuration of the layout design 110 is within a second set of predetermined criteria 226b, and the bias-adjusted layout design 130 is generated according to a second layout bias rule 227b corresponding to the second set of predetermined criteria 226b after execution of computer program code 222 by computer system 200 determines that the geometry configuration of the layout design 110 is within the second set of predetermined criteria 226b.
In some embodiments, there are three sets of predetermined criteria 226a, 226b, and 226c of the layout design. The process moves to operation 350 if execution of computer program code 222 by computer system 200 determines that the geometry configuration of the layout design 110 is within a third set of predetermined criteria 226c, and the bias-adjusted layout design 130 is generated according to a third layout bias rule 227c corresponding to the third set of predetermined criteria 226c after the determination that the geometry configuration of the layout design 110 is within the third set of predetermined criteria 226c. In some embodiments, there are more than three sets of predetermined criteria with corresponding layout bias rules.
As depicted in
In at least one embodiment, the first set of predetermined criteria includes a ratio of the first length Lxa to the second length Lya (Lxa/Lya) being greater than a first predetermined threshold ratio. In other words, the first length Lxa is the length and the second length Lya is the width of the layout design 410a. The first layout bias rule is to apply a line-end bias adjustment to the first length Lxa and apply a line-width bias adjustment to the second length Lya. In at least one embodiment, the second set of predetermined criteria includes a ratio of the second length Lyb to the first length Lxb (Lyb/Lxb) greater than a second predetermined threshold ratio. In other words, the first length Lxb is the width and the second length Lyb is the length of the layout design 410b. The second layout bias rule is to apply the line-end bias adjustment to the second length Lyb and apply the line-width bias adjustment to the first length Lya.
In some embodiments, the first predetermined threshold ratio and the second predetermined ratio ranges from 1.05 to 1.2.
In some embodiments, as depicted in
In some embodiments, various sets of predetermined criteria are defined according to given ranges of (1) pattern widths W1, W2, W3, and/or W4 of layout designs of four neighboring conductive features and (2) gap widths S1, S2, S3, and/or S4 of spacing between the layout design 410d of the conductive feature and the corresponding layout designs 420a-420d of the four neighboring conductive features. For example, in some embodiments, if the layout design 410d and the layout designs 420a-420d have a geometry relationship within a first set of ranges of the pattern widths W1, W2, W3, and/or W4 and gap widths S1, S2, S3, and/or S4, a first layout bias rule that defining a first line-width bias adjustment is applied to the pattern width W of the layout design 410d of the conductive feature. In some embodiments, if the geometry relationship of the layout design 410d and the layout designs 420a-420d is within a second set of ranges of the pattern widths W1, W2, W3, and/or W4 and gap widths S1, S2, S3, and/or S4, a second layout bias rule defining a first line-width bias adjustment is applied to the pattern width W of the layout design 410d of the conductive feature.
In some embodiments, the pattern widths W1, W2, W3, and/or W4 and the gap widths S1, S2, S3, and/or S4 range from 0.03 μm to 4 μm. In some embodiments, the first line-width bias adjustment and the second line-width bias adjustment range from 1 nm to 20 nm.
In some embodiments, a layout design of a neighboring conductive feature, such as the layout design 420b or 420d, is ignored if the layout design 410d of the conductive feature and the layout design 420b or 420d of the neighboring conductive features belong to different masks. In some embodiments, whether the layout designs 410d and 420b or 420d belong to different masks is identified by an indicator, such as a value stored in the computer readable storage medium 220 in
In at least one embodiment, whether the layout designs 410d and 420b or 420d belong to different masks is identified by analyzing a gap width S2 or S4 of spacing between the layout design 410d of the conductive feature and the layout design 420b or 320d of the neighboring conductive feature. In at least one embodiment, the gap width S2 or S4 is compared with a predetermined gap width value (sometimes known as a “G-0 rule”). If the comparison result indicates that the gap width S2 or S4 is less than the predetermined gap width value, the layout design 410d of the conductive feature and the layout design 420b or 420d of the neighboring conductive feature belong to different masks, and thus the layout design 420b or 420d are ignored in determining a suitable bias adjustment for the layout design 410d. The predetermined gap width value (e.g., the G-0 rule) is defined based on the limitations of the deposition, etching, and/or lithographic processes of the predefined fabrication process that fabricating two adjacent features, having a gap less than the G-0 rule, using the same mask is not feasible. In some embodiments, predetermined gap width value ranges from 30 nm to 100 nm.
In some embodiments, the conductive feature 410a, 410b, 410c, or 410d comprises a metallic conductive line, a poly-silicon conductive line, or a portion of a bulk substrate doped with N-type or P-type dopants.
In operation 510, the computer system 200 reads or receives a geometry configuration 225 of the sample conductive feature 120 and a layout design 110 (also depicted in
In operation 520, a circuit-level simulation model 228 of the conductive feature 120 based on the geometry configuration 225 of the conductive feature 120 is generated. In some embodiments, the circuit-level simulation model 228 of the sample conductive feature 120 is generated by performing an electromagnetic field simulation that derives the circuit-level simulation model from the characteristics based on Maxwell's equations. In some embodiments, operation 520 is performed by using an optical proximity correction (OPC) simulation tool with pre-characterized libraries, which include many converting rules from drawing layout configuration to actual layout configuration.
In some embodiments, the geometry configuration 225 of the sample conductive feature 120 is too complex for a parasitic extraction tool to calculate parasitic conductance and/or resistance efficiently. In operation 530, the hardware controller 210 converts and simplifies the circuit-level simulation 228 model of the sample conductive feature 120 into at least a first layout bias rule 227a corresponding to a first set of predetermined criteria 226a of the layout design and a second layout bias rule 227b corresponding to a second set of predetermined criteria 226b of the layout design. The second layout bias rule 227a is different from the first layout bias rule 227b. The sets of predetermined criteria 226a-226c and corresponding layout bias rules 227a-227c are collectively referred to as the simulation model of the predefined fabrication process. The simulation model of the predefined fabrication process is usable to generate a bias-adjusted layout design (such as 130 in
In at least one embodiment, the method of
In some embodiments, a method of generating a simulation model of a predefined fabrication process according to a sample conductive feature includes receiving a geometry configuration of the sample conductive feature and a layout design of the sample conductive feature. A circuit-level simulation model of the sample conductive feature based on the geometry configuration of the sample conductive feature is generated. A hardware processor converts the circuit-level simulation model of the sample conductive feature into at least a first layout bias rule corresponding to a first set of predetermined criteria of the layout design and a second layout bias rule, different from the first layout bias rule, corresponding to a second set of predetermined criteria of the layout design.
In some embodiments, a method of generating a simulation model of a predefined fabrication process according to a sample conductive feature includes receiving a layout design of the sample conductive feature and determining a geometry configuration of the sample conductive feature based on the layout design of the sample conductive feature. A circuit-level simulation model of the sample conductive feature based on the geometry configuration of the sample conductive feature is generated. A hardware processor converts the circuit-level simulation model of the sample conductive feature into at least a first layout bias rule corresponding to a first set of predetermined criteria of the layout design and a second layout bias rule, different from the first layout bias rule, corresponding to a second set of predetermined criteria of the layout design.
In some embodiments, a computer system includes a non-transitory computer readable storage medium encoded with a computer program code and a processor coupled to the non-transitory computer readable storage medium. The processor is configured to execute the computer program code, the computer program code being arranged to cause the processor to: receive a layout design of a sample conductive feature, the sample conductive feature being a portion of an integrated circuit; generate a circuit-level simulation model of the sample conductive feature based on a geometry configuration of the sample conductive feature determined from the layout design of the sample conductive feature; and convert the circuit-level simulation model of the sample conductive feature into at least a first layout bias rule corresponding to a first set of predetermined criteria of the layout design and a second layout bias rule, different from the first layout bias rule, corresponding to a second set of predetermined criteria of the layout design.
The foregoing outlines features of several embodiments so that those skilled in the art may better understand the aspects of the present disclosure. Those skilled in the art should appreciate that they may readily use the present disclosure as a basis for designing or modifying other processes and structures for carrying out the same purposes and/or achieving the same advantages of the embodiments introduced herein. Those skilled in the art should also realize that such equivalent constructions do not depart from the spirit and scope of the present disclosure, and that they may make various changes, substitutions, and alterations herein without departing from the spirit and scope of the present disclosure.
The present application is a divisional of U.S. application Ser. No. 13/370,994, filed Feb. 10, 2012, now issued U.S. Pat. No. 8,887,106, which claims the priority of U.S. Provisional Patent Application No. 61/580,864, filed Dec. 28, 2011, which are incorporated herein by reference in their entireties.
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Parent | 13370994 | Feb 2012 | US |
Child | 14531374 | US |