Patent Application
20140258953
The invention relates to electronic design automation, and more particularly, to methods and apparatuses for rapid checking of design rules in a circuit layout.
Advancements in process technology have impacted integrated circuit manufacturing in at least two key ways. First, scaling of device geometry achieved through sub-wavelength lithography has facilitated packing more devices on a chip. Second, different process recipes have enabled manufacturing of heterogeneous devices with different threshold and supply voltages on the same die. A consequence of these improvements, however, has been an explosion in the number of design rules that need to be obeyed in the layout. Instead of simple width and spacing rules, modern fabrication technologies prescribe complex contextual rules that have to be obeyed for manufacturability.
The increase in the number of rules has complicated the task of creating design rule clean layouts, i.e., layouts that do not have design rule violations. Creating design rule clean layouts for digital circuit designs can be facilitated by the use of standard cell layouts as building blocks, and placement and routing tools that are extended to address the design rules.
Unfortunately, this approach usually does not work for analog, RF and custom circuit designs. Layouts for such designs are typically created manually using layout editors, and because of the number and complexity of the design rules, checking them was a laborious process.
A conventional design rule check (DRC) system requires a powerful two-dimensional geometry engine which supports geometric operations such as Boolean operations like AND, OR, NOT, XOR; sizing operations like grow/shrink horizontal/vertical/diagonal; other operations like merge, shift, flip, cut, smooth; as well as all-angle geometry for true Euclidean distance calculations. Individual rules are typically checked individually over an entire layout region. This is also true of individual rule values of same rule (e.g. a check against the minimum value for a rule, and another check against a preferred value for the same rule). Each check basically runs an independent sequence of geometry operations, and numerous passes through the layout region are required.
For example, a conventional series of operations to check a minimum spacing rule in a Manhattan only layout, might include steps of
As another example, a conventional series of operations to check a minimum width rule in a Manhattan only layout, might include steps of
So long as a good geometry engine is available, the conventional DRC techniques are simple to code, at least for simple rules. They are also flexible and powerful if the geometry engine has a scripting API for relevant geometry operations, and it is relatively straightforward to massively parallelize the DRC process among numerous CPUs.
On the other hand, it can be seen that checking even simple design rules like those above is extremely expensive computationally. Massive parallelization usually is possible only for offline checks, which typically are performed only between layout iterations. Even then they often can require hours to complete. The conventional approach also suffers from roughly linear growth of the total run time with respect to the number of rules to be checked, with multiple values for a rule counted as separate rules. This makes it very hard to reduce the total run time without turning off selected rules. The conventional approach also suffers from linear growth of run time for individual rule checks, with respect to the length of the geometry operation sequence, i.e., the complexity of the rule. The conventional approach also involves separate checks for Euclidean measurements, and also requires extensive education and training in order to optimize the performance of the customer scripts.
The manual layout editing process could be drastically facilitated if design rule checking could be performed in real time, that is, immediately after each geometric manipulation made by the designer. While some layout editors are able to do this, the checking can be sluggish and usually works only when some of the design rules are turned off.
A need therefore exists for a robust solution to the problem of rapid checking of design rules during a layout editing process.
Roughly described, a design rule data set is developed offline based on the design rules of a target fabrication process. A design rule checking method then involves traversing the corners of shapes in a subject layout region, and for each corner, populating a layout topology database with values that depend on the respective corner locations. After the layout topology database has been populated, the values are compared to values in the design rule data set to detect any violations of design rules. Any violations can be reported to a user in real time, while the user is manually editing the layout.
Preferably corner traversal is performed using scan lines oriented perpendicularly to edge orientations, and scanning in the direction of the edge orientations. Scans stop only at corner positions and populate the layout topology database with what information can be gleaned based on the current scan line. The different scans need not reach each corner simultaneously.
The above summary of the invention is provided in order to provide a basic understanding of some aspects of the invention. This summary is not intended to identify key or critical elements of the invention or to delineate the scope of the invention. Its sole purpose is to present some concepts of the invention in a simplified form as a prelude to the more detailed description that is presented later. Particular aspects of the invention are described in the claims, specification and drawings.
The invention will be described with respect to specific embodiments thereof, and reference will be made to the drawings, in which:
The following description is presented to enable any person skilled in the art to make and use the invention, and is provided in the context of a particular application and its requirements. Various modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
The EDA software design process (step 110) is itself composed of a number of steps 112-130, shown in linear fashion for simplicity. In an actual integrated circuit design process, the particular design might have to go back through steps until certain tests are passed. Similarly, in any actual design process, these steps may occur in different orders and combinations. This description is therefore provided by way of context and general explanation rather than as a specific, or recommended, design flow for a particular integrated circuit.
A brief description of the component steps of the EDA software design process (step 110) will now be provided.
System design (step 112): The designers describe the functionality that they want to implement, they can perform what-if planning to refine functionality, check costs, etc. Hardware-software architecture partitioning can occur at this stage. Example EDA software products from Synopsys, Inc. that can be used at this step include Model Architect, Saber, System Studio, and DesignWare® products.
Logic design and functional verification (step 114): At this stage, the VHDL or Verilog code for modules in the system is written and the design is checked for functional accuracy. More specifically, the design is checked to ensure that it produces correct outputs in response to particular input stimuli. Example EDA software products from Synopsys, Inc. that can be used at this step include VCS, VERA, DesignWare®, Magellan, Formality, ESP and LEDA products.
Synthesis and design for test (step 116): Here, the VHDL/Verilog is translated to a netlist. The netlist can be optimized for the target technology. Additionally, the design and implementation of tests to permit checking of the finished chip occurs. Example EDA software products from Synopsys, Inc. that can be used at this step include Design Compiler®, Physical Compiler, DFT Compiler, Power Compiler, FPGA Compiler, TetraMAX, and DesignWare® products.
Netlist verification (step 118): At this step, the netlist is checked for compliance with timing constraints and for correspondence with the VHDL/Verilog source code. Example EDA software products from Synopsys, Inc. that can be used at this step include Formality, PrimeTime, and VCS products.
Design planning (step 120): Here, an overall floor plan for the chip is constructed and analyzed for timing and top-level routing. Example EDA software products from Synopsys, Inc. that can be used at this step include Astro and Custom Designer products.
Physical implementation (step 122): The placement (positioning of circuit elements) and routing (connection of the same) occurs at this step. Example EDA software products from Synopsys, Inc. that can be used at this step include the Astro, IC Compiler, and Custom Designer products. Aspects of the invention can be performed during this step 122.
Analysis and extraction (step 124): At this step, the circuit function is verified at a transistor level, this in turn permits what-if refinement. Example EDA software products from Synopsys, Inc. that can be used at this step include AstroRail, PrimeRail, PrimeTime, and Star-RCXT products.
Physical verification (step 126): At this step various checking functions are performed to ensure correctness for: manufacturing, electrical issues, lithographic issues, and circuitry. Example EDA software products from Synopsys, Inc. that can be used at this step include the Hercules product. Aspects of the invention can be performed during this step 126 as well.
Tape-out (step 127): This step provides the “tape-out” data to be used (after lithographic enhancements are applied if appropriate) for production of masks for lithographic use to produce finished chips. Example EDA software products from Synopsys, Inc. that can be used at this step include the IC Compiler and Custom Designer families of products.
Resolution enhancement (step 128): This step involves geometric manipulations of the layout to improve manufacturability of the design. Example EDA software products from Synopsys, Inc. that can be used at this step include Proteus, ProteusAF, and PSMGen products.
Mask data preparation (step 130): This step provides mask-making-ready “tape-out” data for production of masks for lithographic use to produce finished chips. Example EDA software products from Synopsys, Inc. that can be used at this step include the CATS(R) family of products.
While DRC layout rules are becoming more and more complex at smaller and smaller technology nodes, most if not all of them still can be decomposed into a combination of the relationships among the edges, the corners, and the contours of shapes in the layout. Relationships “among” shapes as used herein includes relationships about a single shape as well. In embodiments herein, multiple perpendicular scan lines are used to collect all the required data in one pass, so that the combinatorial checking on the data is virtually free. The pass speed is improved even further by stopping the scan lines only at corner positions. Note that scans in multiple directions can also be combined an a particular embodiment, so that the algorithm effectively jumps from corner to corner, considering each corner only once.
In a Manhattan layout, all edges of all shapes are oriented either horizontally or vertically. In this case two scan lines would be used, one vertical (scanning horizontally) and one horizontal (scanning vertically). In each case the scan line stops only at endpoints that it encounters of the edges that are oriented perpendicularly to the scan line. The vertical scan line, for example, stops only at endpoints of horizontally oriented edges, and the horizontal scan line stops only at endpoints of vertically oriented edges. In 45 degree layouts, edges can also be oriented at a 45 degree angle or a 135 degree angle. In this case four scan lines can be used, each scanning in a direction perpendicular to a respective one of the orientations in which edges are included in the layout. While scanning the layout region in each particular direction, “corner” data structures are populated for each corner, with whatever information is easily obtainable from the edge endpoints at the corner, and from other edges that intersect the same scan line. The combined information collected from all the scan lines as they encounter the corner, is sufficient to fully populate the corner data structure.
Other data structures are also populated during a scan, such as information about an island (such as its area), and information about vias.
Once all the data is collected into a layout topology database, design rule checking is accomplished merely by comparing the numeric values in the layout topology database with the constraint values in the design rule data set. Unlike geometry engine approaches, the approach described herein can be performed extremely quickly, often within milliseconds, allowing for design rule checking in real time, immediately as the layout designer makes each alteration in the layout.
Moreover, since most if not all of the design rules can be framed in terms of topological relationships among edges and corners, it can be seen that the same basic information, collected during the scan, can be used in checking most if not all of the design rules. In most embodiments, there is no need to re-scan the layout region in order to check different design rules; one scan is sufficient for collecting all the needed data. Still further, since the number of topological relationships that can be involved in checking design rules is itself limited, there is little if any additional data collection needed during the scan in order to check new and ever more complex rules. The time required to perform DRC increases less than linearly with increasing numbers of rules, and tapers off to nearly zero.
For example, if minSpacing is supported already, then minSameNetSpacing and minNotchSpacing can be supported for free (no runtime overhead). If minArea is supported already, then minRectArea can be supported for free (no runtime overhead). If 1D spacing is supported already, then 1D extension can be supported easily regardless of whether they share the same “width”. It can be seen that the more rules that are to be checked, the greater the likelihood that the next “new rule” can be supported for free or with a little extra overhead.
In step 210, the user develops a preliminary layout from a circuit design. As used herein, the term “circuit design” refers to the gate or transistor level design, before layout. The circuit design is often represented internally to the system in a netlist file. The layout is represented internally to the system in a geometry file which defines, among other things, all the shapes to be formed on each mask that will be used to expose the wafer during fabrication. The geometry file can have any of several standard formats, such as GDSII, OASIS, CREF, and so on, or it can have a non-standard format. The file describes the layout of the circuit design in the form of a mask definition for each of the masks to be generated. Each mask definition defines a plurality of polygons. At the time if
In step 212, the user views the layout on a computer monitor. The user typically selects a region of the layout for magnified viewing, so that only that region is visible on the monitor.
In step 214, the user, using a mouse or other pointing device, selects a group of one or more shapes from the visible layout region and drags them to a different location. In step 216, as the user drags the shapes, the system shows on the monitor any design rule violations in real time. In step 218, the user continues to drag the selected shapes until a position is found at which all design rule violations disappear. The user then performs the next desired editing step, which could be another drag-and-drop as in steps 214-218.
It can be seen how useful real time immediate design rule checking, enabled by the system herein, can be in manual layout or layout modification efforts.
Before discussing the methods used by an implementation of the system, it will be useful to discuss design rules in general, and how they can be represented within the system. Design rules are a set of rules that are provided by a semiconductor manufacturer, which specify minimum or maximum geometric relationships among the features of a layout. A semiconductor manufacturing process always has some variability, and the purpose of design rules is to ensure that sufficient margin is included in the layout geometries to minimize the likelihood that the variability will result in loss of yield. A set of design rules is specific to a particular semiconductor manufacturing process, so new rules are provided to designers or EDA vendors for each new process or significant process change. Despite their specificity to a particular process, there are many design rules which are similar, except for one or more numeric values, across many processes.
Design rules range from very simple to very complex. Most, however, can be framed as a set of one or more constraint parameters, and a set of one or more constraint values for the constraint parameters. (As used herein, a “parameter” is merely a slot or container for one or more values. It is not itself a value.) For example, a simple design rule is minimum edge-to-edge spacing (sometimes called minSpacing). This rule has one parameter (edge-to-edge spacing), and one value which is the minimum spacing allowed by the rule between edges in a single layer of the layout. Many design rules specify more than one value for a particular parameter, such as an “absolute minimum” value and a “preferred minimum” value.
More complex rules can have multiple parameters. An End-of-line spacing rule, for example, specifies the minimum spacing between the end of a line and its neighboring geometry. The constraint applies only if the width of the wire is less than a specified value, eolWidth. The constraint applies when any geometry occurs within a region defined by the minimum spacing, where the region includes the distance from each side of the wire. This distance is referred to as a lateral verification distance eolWithin. The constraint applies only if one parallel edge is within a specified rectangular region from the corners of the wire, or it applies only if two parallel edges are within a specified rectangular region from the corners of the wire. These parameters are referred to as parWithin and parSpace. The constraint applies when no parallel edges occur within the region defined by the minimum spacing, or one parallel edge occurs within the region defined by the minimum spacing, or two parallel edges. This rule has the spacing parameter itself, eolSpacing, as well as the following parameters: eolWidth, eolWithin, parWithin and parSpace.
Design rules can also specify constraints on edges in different layers. The MinDualExtension layer pair constraint, for example, specifies the minimum distance a shape on one layer must extend past a shape on a second layer. This rule has one parameter for extensions in the horizontal direction and another parameter for extensions in the vertical directions. This rule can also specify additional pairs of parameters, keyed by wire width. Other more complex parameters are also available for this rule, including optional parameters to qualify when the rule applies.
Design rule sets also often include area rules, such as the minimum area of an island or a hole in a layer. They can also include via rules, which specify constraints on geometric dimensions in the “cut” layer (also sometimes called the via layer), the island in the “cover” layer above the via, and the island in the “cover” layer below the via.
In an embodiment of the invention, all of the values specified by the design rules are provided to the system in the form of a design rule data set. As used herein, the term “data set” does not imply any particular organization. For example, it includes maps, multimaps, trees, as well as ordinary tables, and other data organizations as well. The term also does not necessarily imply any unity or regularity of structure. For example, two or more separate data sets, when considered together, still constitute a “data set” as that term is used herein. The terms “database” and “data structure” are also intended to have the same meaning as “data set”.
In the present embodiment, the design rule data set is sometimes referred to herein as the relationship master. A class definition for an example relationship master, in pseudo-C++, is as follows. In order to simplify the discussion, only some of the parameters are shown.
In step 310, the relationship master data set is built from a set of design rules for the target fabrication process. This can be done manually, or in some embodiments it can be automated. It is provided to the DRC system either electronically or via a computer readable medium, and it is stored accessibly to the system on a computer readable medium. As used herein, a computer readable medium is one on which information can be stored and read by a computer system. Examples include a floppy disk, a hard disk drive, a RAM, a CD, a DVD, flash memory, a USB drive, and so on. The computer readable medium may store information in coded formats that are decoded for actual use in a particular data processing system. A single computer readable medium, as the term is used herein, may also include more than one physical item, such as a plurality of CD ROMs or a plurality of segments of RAM, or a combination of several different kinds of media.
In step 312, the system displays on a monitor the layout or layout region selected by the user. As used herein, the term “region” refers to a portion as viewed from above, including whatever layers are pertinent. As a degenerate case, the entire layout is also a “region”. The user can manipulate (edit) objects in the layout using familiar editing commands, such as keyboard- or mouse-based behaviors recognized by the system. For example, the user can select a group of objects by clicking and dragging the mouse pointer to form a rectangle around them. The user can then move the objects as a group by clicking within the rectangle and dragging it. Editing commands are recognized by the operating system and delivered to the application program by way of events in a well known manner. For example, user dragging of a group of objects might cause a series of events to be delivered to the application program, one after each movement by some number of pixels, or some number of milliseconds. The application program receives these events and determines for itself what the event represents. Step 312 can include a conventional event loop, whereby the application program repeatedly checks for new events. When it receives an event, step 312 determines that it represents a layout editing command such as user dragging of a group of shapes across the layout.
In step 314, the system collects all the editing shapes, which are the ones that are being edited by the user. For a click-and-drag command, the editing shapes are the ones that are being moved to a different position in the layout. For a shape re-sizing command, the editing shape is the one being resized.
In step 316, the system collects all the surrounding shapes, which in a click-and-drag command, are the shapes near the new position of the editing shapes. A selection algorithm is used here which errs on the side of collecting more shapes than necessary, since while inclusion of additional shapes could impact performance, the exclusion of relevant shapes will impact accuracy. One efficient way to collect appropriate shapes is to create a bounding box around the editing shapes in their new position, then extend the box in all four directions by 1.5 times the worst case minimum spacing or the worst case minimum inter-layer clearance, whichever is larger. All shapes at least partially overlapping with the expanded bounding box, in any layer, are then included in the result. A conventional range search engine can be used for this step. Geometry processing is not needed.
In step 318, horizontal and vertical scan line trees sweep_x and sweep_y are built from all of the collected shapes, including both the editing shapes and the static shapes. The horizontal scan line tree sweep_x is a map of particular vertical scan lines, and will be scanned horizontally across the selected layout region, from left to right. The vertical scan line tree sweep_y is a map of particular horizontal scan lines, and will be scanned vertically across the selected layout region, from bottom to top.
Map 516 is an expansion of exit_tree 514; enter_tree 512 has the same structure and is therefore not shown in
Multimap 518 is an expansion of one of the edge_tree structures 520. The other edge_trees have the same structure and therefore are not shown in
Block 522 is an expansion of one of the edge structures 524. The other edges have the same structure and therefore are not shown in
Map 616 is an expansion of exit_tree 614; enter_tree 612 has the same structure and is therefore not shown in
Multimap 618 is an expansion of one of the edge_tree structures 620. The other edge_trees have the same structure and therefore are not shown in
Block 622 is an expansion of one of the edge structures 624. The other edges have the same structure and therefore are not shown in
As can be seen, sweep_x contains only horizontal edges and sweep_y contains only vertical edges. Thus the scan lines in each data structure are perpendicular to the edges that will be encountered during a traversal of the structure. In an embodiment supporting diagonal edges as well, two more sweep data structures are present as well: one containing scan lines oriented parallel to one diagonal and the other containing scan lines oriented parallel to the other diagonal. Each data structure includes only edges oriented perpendicularly to its scan lines, so again, a scan line sweep of the scan lines in each structure will encounter only those edges oriented perpendicularly to the scan line.
In step 714, enter_tree is created for sweep_x. This is accomplished by, at each unique horizontal position represented in the sorted list (step 716), creating a scan line multimap (of class ‘edge_tree’) for a vertical scan line at that horizontal position (step 718). In step 720, the scan line multimap at that horizontal position is populated with all the edges (structures of class ‘edge’) in the list having left-hand endpoints at the current horizontal position.
After enter_tree has been created and populated for sweep_x, the list from step 710 is re-sorted by horizontal position of all the right-hand endpoints of the edges. Again, there may be multiple edges whose right-hand endpoints have the same horizontal position. In step 724, exit_tree is created for sweep_x. Similarly to the creation of enter_tree, this is accomplished by, at each unique horizontal position represented in the sorted list (step 726), creating a scan line multimap (of class ‘edge_tree’) for a vertical scan line at that horizontal position (step 718). In step 720, the scan line multimap at that horizontal position is populated with all the edges (structures of class ‘edge’) in the list having right-hand endpoints at the current horizontal position.
In step 814, enter_tree is created for sweep_y. This is accomplished by, at each unique vertical position represented in the sorted list (step 812), creating a scan line multimap (of class ‘edge_tree’) for a horizontal scan line at that vertical position (step 818). In step 820, the scan line multimap at that vertical position is populated with all the edges (structures of class ‘edge’) in the list having lower endpoints at the current vertical position.
After enter_tree has been created and populated for sweep_y, the list from step 810 is re-sorted by horizontal position of all the upper endpoints of the edges. Again, there may be multiple edges whose upper endpoints have the same vertical position. In step 824, exit_tree is created for sweep_y. As before, this is accomplished by, at each unique vertical position represented in the sorted list (step 822), creating a scan line multimap (of class ‘edge_tree’) for a horizontal scan line at that vertical position (step 818). In step 820, the scan line multimap at that vertical position is populated with all the edges (structures of class ‘edge’) in the list having upper endpoints at the current vertical position.
Returning now to
In step 1012, current_scan_line is updated by adding all horizontal edges having a left-hand endpoint located at the current horizontal scan position. In step 1014, the quadrant depth vector (
The quadrant depth vector indicates the number of shapes in a particular layer that border a particular edge endpoint in each of the four quadrants centered at that endpoint. In
In step 1014, the updating of the quadrant depth vector for an edge in the enter_tree (i.e. an edge whose left-hand endpoint lies on the current vertical scan line), involves incrementing the value for either quadrant I or quadrant IV by one. The value for quadrant I is incremented if the “edge against scan line?” Boolean for the edge 1112 indicates True (i.e. the edge is the bottom edge of a shape), or the value for quadrant IV is incremented if the “edge against scan line?” Boolean for the edge 1112 indicates False (i.e. the edge is the top edge of a shape). Similarly, the updating of the quadrant depth vector for an edge in the exit_tree (i.e. an edge whose right-hand endpoint lies on the current vertical scan line), involves decrementing the value for either quadrant I or quadrant IV by one. The value for quadrant I is decremented if the “edge against scan line?” Boolean for the exiting edge indicates True (i.e. the edge is the bottom edge of a shape), or the value for quadrant IV is decremented if the “edge against scan line?” Boolean for the exiting edge indicates False (i.e. the edge is the top edge of a shape). It can be seen that the quadrant depth vector increments quantities as the vertical scan line encounters shapes while moving left-to-right across the region. It decrements quantities as the scan line moves past shapes.
In step 1016, each of the edges whose left-hand endpoint lies on the current scan line are processed. These are the edges represented in enter_tree. As they are processed, a “corner” data structure for the endpoint is populated. The corner data structure stores the information illustrated in
A ray object represents essentially an arrow with a head point and tail point. All the tail points coincide with the current corner. For Manhattan layouts the rays are either horizontal or vertical, though in 45 degree layouts it can also have either of the two diagonal orientations. The ‘ray’ class is described in a C++ like pseudocode class definition as follows:
The corner data structures developed during the scan are maintained as entries in a synchronized_corner_map_structure. This structure is a map, in which the keys identify a layer number and an x and y position on that layer, and the values are objects of class ‘corner’.
In step 1216, a corner data structure for the left-hand endpoint of the current edge is instantiated in synchronized_corner_map if it does not already exist. The corner data structure might already exist in synchronized_corner_map if, for example, the corner had already been encountered because of a different horizontal edge on the same layer that starts at the same point (such as the bottom edge of rectangle 1138 in
In one embodiment, all design rule checks are performed only after all scans are complete. However, the present embodiment incorporates a feature in which the system performs certain simple edge-based rule checks as part of step 1218. For example, if the current edge is a top edge and the walk upwards along the current vertical scan line meets the bottom edge of a shape in the same layer, then s_ray_y is populated in the corner data structure and the minimum spacing rule is checked as well. This check involves comparing the length of s_ray_y with the minimum spacing value in the relationship_master. If the current edge is a top edge and the walk upwards along the current vertical scan line meets the top edge of a shape in a different layer, then the minimum extension rule is checked by comparing the distance walked to the minimum extension value for the appropriate layer pair in the relationship_master. If the current edge is a bottom edge and the walk upwards along the current vertical scan line meets the top edge of a shape in the same layer, then d_ray_y is populated, and also the minimum dimension rule is checked. This check involves comparing the value of d_ray_y with the minimum dimension value in the relationship_master. If the current edge is a bottom edge and the walk upwards along the current vertical scan line meets the top edge of a shape in a different layer, then the minimum overlap rule is checked. Similar checks are performed during the walk downward from the current edge. If during the walks up and down the current vertical scan line, the distance walked exceeds the worst case limit from the relationship master, there is no design rule violation encountered and it is not necessary to populate further items in the corner data structure that would be encountered in the current walking direction.
After the available corner structure information items have been populated, then the system returns to step 1210 to consider the next entering edge in the current vertical scan line.
In step 1316, a corner data structure for the right-hand endpoint of the current edge is instantiated in synchronized_corner_map if it does not already exist. Again, the corner data structure might already exist in synchronized_corner_map if, for example, the corner had already been encountered because of a different horizontal edge on the same layer that ends at the same point, or as part of the vertical scan in an embodiment in which the vertical scan precedes or operates concurrently with the horizontal scan. In step 1318, the system walks upward and downward along the current vertical scan line from the current horizontal edge, populating the available corner information as it is learned. In particular, referring to the corner data structure definition above and the illustration in
In addition, preferably but not essentially, the system also in step 1318 performs the same edge-based rule checks for the exiting edges as performed and described above with respect to step 1218 for entering edges.
After the available corner structure information items have been populated, then the system returns to step 1310 to consider the next exiting edge in the current vertical scan line.
Returning to
Among other things, the island data structure accumulates the following information about a particular island during the process of the horizontal scan: area of the island, area of a hole just above the island, common run lengths against other islands in the same layer and islands in other layers. For clarity of illustration, the present description will concentrate primarily on the island area as an example of island-based rule checking Reference will be made to
Roughly described, island area is accumulated during the horizontal scan by using the shape corners to divide the island into non-overlapping “island rectangles”, the area of which are easily determined from the horizontal edges represented in the current vertical scan line. In the example of
Referring to
If the current island is already represented in island_map, then effectively a vertical slice is made through the current island at the current vertical scan line; and the area of the left-adjacent rectangle is added to the area being accumulated. Accordingly, in step 2318, the height H of the left-adjacent rectangle is calculated as the distance along the current vertical scan line from the bottom edge of the current island to the top edge of the current island. This information is available in current_scan_line, because at least one of the top and bottom edges is a corner, and the y-position of the corner is available as the left- or right-hand endpoint of a horizontal edge in the current vertical scan line. The other of the top and bottom edges may also be a corner, or may be an edge that merely intersects the current vertical scan line. In either case its y-position is available as well in current_scan_line. In step 2320, the width W of the left-adjacent rectangle is calculated as the horizontal position of the current scan line minus the last scan line position at which island information was updated, which is the value in m_last_position updated. In step 2322 the product of H and W is added to the area value for the current island.
In step 2324, as mentioned above, the value of m_last_position updated for the new island is set equal to the x-position of the current vertical scan line. The method then returns to step 2310 for consideration of the next island having a corner on the current vertical scan line.
Once all islands having a corner on the current vertical scan line have been considered, then any two or more of such islands that are now vertically-adjacent are merged into a single island in step 2326 and their area values summed. In step 2328, any island that is now split into two, perhaps separated vertically by a newly encountered hole or notch, are split. The details of the merging and splitting operations are not important for an understanding of the invention. Note that whereas island area information is captured during the horizontal scan, it is not compared to the design rule values in the present embodiment until later.
Returning to
Returning to
In step 1412, current_scan_line is updated by adding all vertical edges having a lower endpoint located at the current horizontal scan position. In step 1414, the quadrant depth vector (
In step 1416, each of the edges whose lower endpoint lies on the current_scan_line are processed. These are the edges represented in enter_tree. As they are processed, the “corner” data structure for the endpoint is populated. in synchronized_corner_map. As mentioned, the relevant corner data structure may already exist from a previously encountered different vertical edge on the same layer that starts at the same point, or as part of the horizontal scan in an embodiment in which the horizontal vertical scan precedes or operates concurrently with the vertical scan.
In step 1516, a corner data structure for the left-hand endpoint of the current edge is instantiated in synchronized_corner_map if it does not already exist. In step 1518, the system walks leftward and rightward along the current horizontal scan line from the current vertical edge, populating the available corner information as it is learned. In particular, referring to the corner data structure definition above and the illustrations in
In an embodiment, certain edge-based rule checks are also performed as part of step 1518, similar to those performed in step 1218. For example, if the current edge is a right-hand edge and the walk rightward along the current horizontal scan line meets the left-hand edge of a shape in the same layer, then s_ray_x is populated in the corner data structure and the minimum spacing rule is checked as well. This check involves comparing the length of s_ray_x with the minimum spacing value in the relationship_master. If the current edge is a right-hand edge and the walk rightwards along the current horizontal scan line meets the right-hand edge of a shape in a different layer, then the minimum extension rule is checked by comparing the distance walked to the minimum extension value for the appropriate layer pair in the relationship_master. If the current edge is a left-hand edge and the walk rightwards along the current horizontal scan line meets the right-hand edge of a shape in the same layer, then d_ray_x is populated, and also the minimum dimension rule is checked. This check involves comparing the value of d_ray_x with the minimum dimension value in the relationship_master. If the current edge is a left-hand edge and the walk rightwards along the current horizontal scan line meets the right-hand edge of a shape in a different layer, then the minimum overlap rule is checked. Similar checks are performed during the walk leftward from the current edge. If during the walks leftward and rightward along the current horizontal scan line, the distance walked exceeds the worst case limit from the relationship_master, there is no design rule violation encountered and it is not necessary to populate further items in the corner data structure that would be encountered in the current walking direction.
After the available corner structure information items have been populated, then the system returns to step 1510 to consider the next entering edge in the current horizontal scan line.
In step 1616, a corner data structure for the upper endpoint of the current edge is instantiated in synchronized_corner_map if it does not already exist. Again, the corner data structure might already exist in synchronized_corner_map. In step 1618, the system walks leftward and rightward along the current horizontal scan line from the current vertical edge, populating the available corner information as it is learned. In particular, referring to the corner data structure definition above and the illustration in
In addition, preferably but not essentially, the system also in step 1618 performs similar edge-based rule checks for the exiting edges as performed and described above with respect to step 1318.
After the available corner structure information items have been populated, then the system returns to step 1610 to consider the next exiting edge in the current horizontal scan line.
Returning to
In step 1422, as a time saving technique, the quadrant depth vectors for each of the entering vertical edges in the current horizontal scan line are copied from the upper quadrants to the corresponding lower quadrants. In this manner the lower quadrant depth values can be incremented or decremented as the horizontal scan line moves upward, and will contain accurate values when the scan line reaches the upper endpoint of the edge. In step 1424, all the exiting edges are removed from the current horizontal scan line. The routine then returns to step 1410 for the next vertical scan position.
Returning to
In step 1812, the ray map is scanned left-to-right to identify intersections of the rays. A conventional scan line algorithm can be used for this purpose.
In step 1814, it is determined whether the current ray intersection is an intersection of two space_rays. The two corners from which these space_rays extend both have to be convex, so the situation is as illustrated in
If the intersecting rays are not both space_rays, then in step 1818 it is determined whether they are both dimension_rays in the same layer. The two corners from which these dimension_rays extend both have to be concave, so the situation is as illustrated in
If the intersecting rays are not both dimension_rays, then in step 1822 it is determined whether one is a space_ray on one layer, and the other is a dimension_ray on a different layer. Since the corner from which the space_ray extends is convex, and the corner from which the dimension_ray extends in concave, the situation is as illustrated in
Various other corner-based design rule checks can be performed within this loop as well, not shown in
In step 2014, it is determined whether the current corner is concave or convex. If it is concave, then in step 2016 the concave corner edge length rule is checked. This rule requires that at least one of the two adjacent edges forming a concave corner have at least a minimum length. This test can be performed using the same values from the corner data structure as used in step 2012 (ori_x, tar_x, ori_y and tar_y). The lengths determined for the two edges are compared to the minimum concave corner edge length value in the relationship_master.
In step 2018, the notch rule is checked. This rule requires that a ‘notch’ in an island have at least a specified minimum width. Framed in terms of corners, the rule requires that two adjacent concave corners be at least a specified distance apart. This rule need be checked for a horizontally-adjacent corner only of the horizontally-adjacent corner is concave, and need be checked for a vertically-adjacent corner only of the vertically-adjacent corner is concave. For example, in the illustration of
If in step 2014, it is determined that the current corner is convex, then in step 2020 the convex corner edge length rule is checked. This rule requires that at least one of the two adjacent edges forming a convex corner have at least a minimum length. This test can be performed using the same values from the corner data structure as used in step 2012 (ori_x, tar_x, ori_y and tar_y). The lengths determined for the two edges are compared to the minimum convex corner edge length value in the relationship_master.
In step 2022, an end-of-line spacing rule is checked. In its simplest form, this rule requires that at the end of a line, a specified minimum spacing is required to the neighboring geometry. Referring to
After all the desired rules are checked for the current corner, the routine returns to step 2010 to consider the next corner in synchronized_corner_map.
Returning to
Other rules, such as via-based rules, are checked in step 1716.
Returning to
All of the design rule checks output marker information for any violation. The marker information is collected in a map structure. In step 324, the marker information is converted to visible form on the user's monitor or provided to another entity. In addition, as shown in
Similar visual indicators to indicate violations of other design rules will be apparent to the reader. It can be seen that the markings provide nearly immediate feedback to the user as the layout is edited, thereby greatly facilitating the manual layout effort. It should be noted that the absence of any visual indication to the user also constitutes a notification to the user that no design rule violation has been detected.
In the embodiments described herein, all the corner data structures are completely populated before the corner-based rules are checked. This is the most advantageous arrangement, but some benefits of the invention can be obtained even if only some (i.e. more than one; preferably more than two) of the corner data structures are completely populated before the corner-based rules are checked. Similarly, all island data structures are completely populated before the island-based rules are checked. Again, while this is the most advantageous arrangement, some benefits of the invention can be obtained even if only some (i.e. more than one; preferably more than two) of the island data structures are completely populated before the island-based rules are checked.
The physical hardware component of network interfaces are sometimes referred to as network interface cards (NICs), although they need not be in the form of cards: for instance they could be in the form of integrated circuits (ICs) and connectors fitted directly onto a motherboard, or in the form of macrocells fabricated on a single integrated circuit chip with other components of the computer system.
User interface input devices 2222 may include a keyboard, pointing devices such as a mouse, trackball, touchpad, or graphics tablet, a scanner, a touch screen incorporated into the display, audio input devices such as voice recognition systems, microphones, and other types of input devices. In general, use of the term “input device” is intended to include all possible types of devices and ways to input information into computer system 2210 or onto computer network 2218.
User interface output devices 2220 may include a display subsystem, a printer, a fax machine, or non-visual displays such as audio output devices. The display subsystem may include a cathode ray tube (CRT), a flat-panel device such as a liquid crystal display (LCD), a projection device, or some other mechanism for creating a visible image. The display subsystem produces the images illustrated in
Storage subsystem 2224 stores the basic programming and data constructs that provide the functionality of certain embodiments of the present invention. For example, the various modules implementing the functionality of certain embodiments of the invention may be stored in storage subsystem 2224. These software modules are generally executed by processor subsystem 2214.
Memory subsystem 2226 typically includes a number of memories including a main random access memory (RAM) 2230 for storage of instructions and data during program execution and a read only memory (ROM) 2232 in which fixed instructions are stored. File storage subsystem 2228 provides persistent storage for program and data files, and may include a hard disk drive, a floppy disk drive along with associated removable media, a CD-ROM drive, an optical drive, or removable media cartridges. The databases and modules implementing the functionality of certain embodiments of the invention may be stored by file storage subsystem 2228. The host memory 2226 contains, among other things, computer instructions which, when executed by the processor subsystem 2214, cause the computer system to operate or perform functions as described herein. As used herein, processes and software that are said to run in or on “the host” or “the computer system”, execute on the processor subsystem 2214 in response to computer instructions and data in the host memory subsystem 2226 including any other local or remote storage for such instructions and data.
Bus subsystem 2212 provides a mechanism for letting the various components and subsystems of computer system 2210 communicate with each other as intended. Although bus subsystem 2212 is shown schematically as a single bus, alternative embodiments of the bus subsystem may use multiple busses.
Computer system 2210 itself can be of varying types including a personal computer, a portable computer, a workstation, a computer terminal, a network computer, a television, a mainframe, or any other data processing system or user device. Due to the ever-changing nature of computers and networks, the description of computer system 2210 depicted in
In an embodiment, the steps set forth in the flow charts and descriptions herein are performed by a computer system having a processor such as processor subsystem 2214 and a memory such as storage subsystem 2224, under the control of software which includes instructions which are executable by the processor subsystem 2214 to perform the steps shown. The software also includes data on which the processor operates. The software is stored on a computer readable medium, which as mentioned above and as used herein, is one on which information can be stored and read by a computer system. Examples include a floppy disk, a hard disk drive, a RAM, a CD, a DVD, flash memory, a USB drive, and so on. The computer readable medium may store information in coded formats that are decoded for actual use in a particular data processing system. A single computer readable medium, as the term is used herein, may also include more than one physical item, such as a plurality of CD-ROMs or a plurality of segments of RAM, or a combination of several different kinds of media. When the computer readable medium storing the software is combined with the computer system of
Additionally, the geometry file or files storing the layout, the relationship master dataset, and the layout topology database are themselves stored on computer readable media. Such media can be distributable separately from the computer system, and form their own respective articles of manufacture. When combined with a computer system programmed with software for reading, revising, and writing the geometry files, and for design rule checking, they form yet another machine which performs the steps set forth herein.
As used herein, the “identification” of an item of information does not necessarily require the direct specification of that item of information. Information can be “identified” in a field by simply referring to the actual information through one or more layers of indirection, or by identifying one or more items of different information which are together sufficient to determine the actual item of information. In addition, the term “indicate” is used herein to mean the same as “identify”.
As used herein, a given signal, event or value is “responsive” to a predecessor signal, event or value if the predecessor signal, event or value influenced the given signal, event or value. If there is an intervening processing element, step or time period, the given signal, event or value can still be “responsive” to the predecessor signal, event or value. If the intervening processing element or step combines more than one signal, event or value, the signal output of the processing element or step is considered “responsive” to each of the signal, event or value inputs. If the given signal, event or value is the same as the predecessor signal, event or value, this is merely a degenerate case in which the given signal, event or value is still considered to be “responsive” to the predecessor signal, event or value. “Dependency” of a given signal, event or value upon another signal, event or value is defined similarly.
The foregoing description of preferred embodiments of the present invention has been provided for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations will be apparent to practitioners skilled in this art. In particular, and without limitation, any and all variations described, suggested or incorporated by reference in the Background section of this patent application are specifically incorporated by reference into the description herein of embodiments of the invention. The embodiments described herein were chosen and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the following claims and their equivalents.
This application is a continuation of U.S. application Ser. No. 13/719,872, filed 19 Dec. 2012, by Zuo Dai, Dick Liu and Ming Su, entitled “HIGH PERFORMANCE DESIGN RULE CHECKING TECHNIQUE,” Attorney Docket No. SYNP 1350-3, which application is a continuation of U.S. application Ser. No. 12/960,086, filed Dec. 3, 2010, by Zuo Dai, Dick Liu and Ming Su, entitled “HIGH PERFORMANCE DESIGN RULE CHECKING TECHNIQUE,” Attorney Docket No. SYNP 1350-1, which applications are incorporated herein by reference in their entirety.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 13719872 | Dec 2012 | US |
| Child | 14209681 | US | |
| Parent | 12960086 | Dec 2010 | US |
| Child | 13719872 | US |
