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author | Clifford Wolf <clifford@clifford.at> | 2013-02-27 09:32:19 +0100 |
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committer | Clifford Wolf <clifford@clifford.at> | 2013-02-27 09:32:19 +0100 |
commit | a321a5c412090d04dfaea4b4876c4901c42cfe44 (patch) | |
tree | b08d286e0aea76be9aab7a543df0b51e76b6ede4 /libs/subcircuit/README | |
parent | 4f0c2862a0d7e1ca247e0a4d54301c7f8cc92fd8 (diff) | |
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Moved stand-alone libs to libs/ directory and added libs/subcircuit
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diff --git a/libs/subcircuit/README b/libs/subcircuit/README new file mode 100644 index 000000000..5c8a8a9e7 --- /dev/null +++ b/libs/subcircuit/README @@ -0,0 +1,440 @@ + + ************************************************************************** + * * + * The SubCircuit C++11 library * + * * + * An implementation of a modified Ullmann Subgraph Isomorphism Algorithm * + * for coarse grain logic networks. by Clifford Wolf * + * * + ************************************************************************** + +============ +Introduction +============ + +This is a library that implements a modified Ullmann Subgraph Isomorphism +Algorithm with additional features aimed at working with coarse grain logic +networks. + +A simple command line tool that exposes the features of the library is also +included. + + +Under-Construction Warning +-------------------------- + +This work is under constructions. It is likely that they are bugs in the +library that need fixing. Feel free to contact me at clifford@clifford.at +if you have found a bug. + + +C++11 Warning +------------- + +This project is written in C++11. Use appropriate compiler switches to compile +it. Tested with clang version 3.0 and option -std=c++11. Also tested with gcc +version 4.6.3 and option -std=c++0x. + + +======== +Features +======== + +The input is two graphs (needle and haystack) that represent coarse grain +logic networks. The algorithm identifies all subgraphs of haystack that are +isomorphic to needle. + +The following additional features over the regular Ullmann Subgraph Isomorphism +Algorithm are provided by the library. + + * The graphs are attributed hypergraphs capable of representing netlists: + + - Nodes represent the logic cells: + - Nodes have types and only match compatible types + - Nodes have ports with variable bit-width + + - Hyperedges represent the signals: + - Each hyperedge connects one to many bits on ports on nodes + + - Callback functions for advanced attributes and compatibility rules: + Any set of node-node compatibility rules and edge-edge + compatibility rules can be implemented by providing + the necessary callback functions. + + * The algorithm is very efficient when all or many bits of one port are + connected to bits of the same other port. This is usually the case + in coarse grain logic networks. But the algorithm does not add any + restrictions in this area; it is just optimized for this scenario. + + * The algorithm can be configured to allow larger ports in needle cells to + match smaller ports in haystack cells in certain situations. This way it + is possible to e.g. have a 32-bit adder cell in the needle match a + 16-bit adder cell in the haystack. + + * The algorithm can be configured to perform port-swapping on certain + ports on certain cell types to match commutative operations properly. + + This is, however, not implemented very efficiently when a larger number + of permutations is possible on a cell type. Therefore it is recommended + to only use swap groups with only a few members and a few such groups + on one cell type type. + + Also note, that the algorithm can not resolve complex dependencies + between the port swappings of different cells. Therefore it is + recommended to only use port swapping on input pins of commutative + operations, where such complex dependencies can not emerge. + + * The algorithm can be configured to distinguish between internal signals + of the needle and externally visible signals. The needle will only + match a subgraph of the haystack if that subgraph does not expose the + internal signal to nodes in the haystack outside the matching subgraph. + + * The algorithm can recognize a subcircuit even if some or all of its + inputs and/or outputs are shorted together. + + * Explicit fast support for constant signals without extra nodes for + constant drivers. + + * Support for finding only non-overlapping matches. + + * The public API of the library is using std::string identifiers for + nodes, node types and ports. Internally the costly part of the + algorithm is only using integer values, thus speeding up the + algorithm without exposing complex internal encodings to the caller. + + +================= +API Documentation +================= + +This section gives a brief overview of the API. For a working example, have a +look at the demo.cc example program in this directory. + + +Setting up graphs +----------------- + +Instanciate the SubCircuit::Graph class and use the methods of this class to +set up the circuit. + + SubCircuit::Graph myGraph; + +For each node in the circuit call the createNode() method. Specify the +identifier for the node and also the type of function implemented by the node. +Then call createPort() for each port of this node. + +E.g. the following code adds a node "myAdder" of type "add" with three 32 bit +wide ports "A", "B" and "Y". Note that SubCircuit does not care which port is +an input and which port is an output. The last (and optional) argument to +createPort() specifies the minimum number of bits required for this port in the +haystack (this field is only used in the needle graph). So in this example the +node would e.g. also match any adder with a bit width smaller 32. + + myGraph.createNode("myAdder", "add"); + myGraph.createPort("myAdder", "A", 32, 1); + myGraph.createPort("myAdder", "B", 32, 1); + myGraph.createPort("myAdder", "Y", 32, 1); + +The createConnection() method can be used to connect the nodes. It internally +creates a hypergraph. So the following code does not only connect cell1.Y with +cell2.A and cell3.A but also implicitly cell2.A with cell3.A. + + myGraph.createConnection("cell1", "Y", "cell2", "A"); + myGraph.createConnection("cell1", "Y", "cell3", "A"); + +Redundent calls to createConnection() are ignored. As long as the method is +called after the relevant nodes and ports are created, the order in which the +createConnection() calls are performed is irrelevant. + +The createConnection() method can also be used to connect single bit signals. +In this case the start bit for both ports must be provided as well as an +optional width (which defaults to 1). E.g. the following calls can be used to +connect the 32 bit port cell4.Y to the 32 bit port cell5.A with a one bit left +rotate shift, + + myGraph.createConnection("cell4", "Y", 0, "cell5", "A", 1, 31); + myGraph.createConnection("cell4", "Y", 31, "cell5", "A", 0); + +The method createConstant() can be used to add a constant driver to a signal. +The signal value is encoded as one char by bit, allowing for multi-valued +logic matching. The follwoing command sets the lowest bit of cell6.A to a +logic 1: + + myGraph.createConnection("cell6", "A", 0, '1'); + +It is also possible to set an entire port to a integer value, using the +encodings '0' and '1' for the binary digits: + + myGraph.createConnection("cell6", "A", 42); + +The method markExtern() can be used to mark a signal as externally visible. In +a needle graph this means, this signal may match a signal in the haystack that +is used outside the matching subgraph. In a haystack graph this means, this +signal is used outside the haystack graph. I.e. an internal signal of the +needle won't match an external signal of the haystack regardless where the +signal is used in the haystack. + +In some application one may disable this extern/intern checks. This can easily +be achieved by marking all signals in the needle as extern. This can be done +using the Graph::markAllExtern() method. + + +Setting up and running solvers +------------------------------ + +To actually run the subgraph isomorphism algorithm, an instance of +SubCircuit::Solver must be created. + + SubCircuit::Solver mySolver; + +The addGraph() method can be used to register graphs with the solver: + + mySolver.addGraph("graph1", myGraph); + mySolver.addGraph("graph2", myOtherGraph); + +Usually nodes in the needle and the haystack must have the same type identifier +to match each other. Additionally pairs of compatible needle and haystack node +pairs can be registered using the addCompatibleTypes() method: + + mySolver.addCompatibleTypes("alu", "add"); + mySolver.addCompatibleTypes("alu", "sub"); + mySolver.addCompatibleTypes("alu", "and"); + mySolver.addCompatibleTypes("alu", "or"); + mySolver.addCompatibleTypes("alu", "xor"); + +Note that nodes in needle and haystack must also use the same naming convention +for their ports in order to be considered compatible by the algorithm. + +Similarly the method addCompatibleConstants() can be used the specify which +constant values in the needle should match which constant value in the haystack. +Equal values always do match. + + mySolver.addCompatibleConstants('x', '0'); + mySolver.addCompatibleConstants('x', '1'); + +Some cells implement commutative operations that don't care if their input +operands are swapped. For this cell types it is possible to register groups +of swappable ports. Let's consider a cell "macc23" that implements the +function Y = (A * B) + (C * D * E): + + mySolver.addSwappablePorts("macc23", "A", "B"); + mySolver.addSwappablePorts("macc23", "C", "D", "E"); + +Sometimes the rules for port swapping are a more complicated and the swapping +of one port is related to the swapping of another port. Let's consider a cell +"macc22" that implements the function Y = (A * B) + (C * D): + + mySolver.addSwappablePorts("macc22", "A", "B"); + mySolver.addSwappablePorts("macc22", "C", "D"); + + std::map<std::string, std::string> portMapping; + portMapping["A"] = "C"; + portMapping["B"] = "D"; + portMapping["C"] = "A"; + portMapping["D"] = "B"; + mySolver.addSwappablePortsPermutation("macc22", portMapping); + +I.e. the method mySolver.addSwappablePortsPermutation() can be used to register +additional permutations for a node type of which one or none is applied on top +of the permutations yielded by the permutations generated by the swap groups. + +Note that two solutions that differ only in the applied port swapping are not +reported as separate solutions. Instead only one of them is selected (in most +cases the one with less port swapping as it is usually identified first). + +Once everything has been set up, the solve() method can be used to actually +search for isomorphic subgraphs. The first argument to solve() is an +std::vector<SubCircuit::Solver::Result> objects to which all found solutions +are appended. The second argument is the identifier under which the needle +graph has been registered and the third argument is the identifier under which +the haystack graph has been registered: + + std::vector<SubCircuit::Solver::Result> results; + mySolver.solve(results, "graph1", "graph2"); + +The SubCircuit::Solver::Result object is a simple data structure that contains +the mappings between needle and haystack nodes, port mappings after the port +swapping and some additional metadata. See "subcircuit.h" and "demo.cc" for +details. + +The solve() method has a third optional boolean argument. If it is set to +false, solve will not return any solutions that contain haystack nodes that +have been part of a previously found solution. This way it is e.g. easy +to implement a greedy macro cell matching algorithm: + + std::vector<SubCircuit::Solver::Result> results; + mySolver.solve(results, "macroCell1", "circuit", false); + mySolver.solve(results, "macroCell2", "circuit", false); + mySolver.solve(results, "macroCell3", "circuit", false); + +After this code has been executed, the results vector contains all +non-overlapping matches of the three macrocells. The method +clearOverlapHistory() can be used to reset the internal state used +for this feature. The default value for the third argument to solve() +is true (allow overlapping). + +The solve() method also has a fourth optional integer argument. If it is set to +a positive integer, this integer specifies the maximum number of solutions to +be appended to the results vector, i.e. to terminate the algorithm early when +the set number of matches is found. When this fourth argument is negative or +omitted all matches are found and appended. + +An alternative version of the solve() method supports an additional argument +after they haystack graph identifier that specifies initial mappings for +the algorithm. In the following example only the haystack nodes cell_1 and +cell_2 are considered as mappings for the needle node cell_A: + + std::map<std::string, std::set<std::string>> initialMappings; + initialMappings["cell_A"].insert("cell_1"); + initialMappings["cell_A"].insert("cell_2"); + + std::vector<SubCircuit::Solver::Result> results; + mySolver.solve(results, "graph1", "graph2", initialMappings); + +The clearConfig() method can be used to clear all data registered using +addCompatibleTypes(), addCompatibleConstants(), addSwappablePorts() and +addSwappablePortsPermutation() but retaining the graphs and the overlap state. + + +Using user callback function +---------------------------- + +For more complex tasks it is possible to derive a class from SubCircuit::Solver +that overloads one or more of the following virtual methods. The userData +arguments to the following methods are void pointers that can be passed as +third argument to Graph::createNode() and are simly passed thru to the user +callback functions together with the node id whenever a node is referenced. + +bool userCompareNodes(needleGraphId, needleNodeId, needleUserData, haystackGraphId, haystackNodeId, haystackUserData): + + Perform additional checks on a pair of nodes (one from the needle, one + from the haystack) to determine if the nodes are compatible. The default + implementation always returns true. + + +bool userCompareEdge(needleGraphId, needleFromNodeId, needleFromUserData, needleToNodeId, needleToUserData, + haystackGraphId, haystackFromNodeId, haystackFromUserData, haystackToNodeId, haystackToUserData): + + Perform additional checks on a pair of a pair of adjacent nodes (one + adjacent pair from the needle and one adjacent pair from the haystack) + to determine wheter this edge from the needle is compatible with + that edge from the haystack. The default implementation always + returns true. + +bool userCheckSolution(result): + + Perform additional checks on a solution before appending it to the + results vector. When this function returns false, the solution is + ignored. The default implementation always returns true. + + +Debugging +--------- + +For debugging purposes the SubCircuit::Solver class implements a setVerbose() +method. When called once, all further calls to the solve() method cause the +algorithm to dump out a lot of debug information to stdout. + +In conjunction with setVerbose() one can also overload the userAnnotateEdge() +method in order to add additional information about the edges to the debug +output. + + +=================== +Shell Documentation +=================== + +This package also contains a small command-line tool called "scshell" that can +be used for experimentation with the algorithm. This program reads a series of +commands from stdin and reports its findings to stdout on exit. + + $ ./scshell < test_macc22.txt + + ... + + Match #3: (macc22 in macc4x2) + add_1 -> add_2 A:B B:A Y:Y + mul_1 -> mul_4 A:A B:B Y:Y + mul_2 -> mul_3 A:A B:B Y:Y + +The following commands can be used in scshell to specify graphs: + + graph <graph_name> + ... + endgraph + + Used to specify a graph with the given name. Only the commands + "node", "connect" and "extern" may be used within the graph ... + endgraph block. + + node <node_name> [<port_name> [<bits> [<min_bits>]]]+ + + Used to create a node and ports. This command is a direct frontend + to the Graph::createNode() and Graph::createPort() methods. + + connect <from_node> <from_port> <to_node> <to_port> + connect <from_node> <from_port> <from_bit> <to_node> <to_port> <to_bit> + connect <from_node> <from_port> <from_bit> <to_node> <to_port> <to_bit> <width> + + Used to connect the nodes in the graph via Graph::createConnection(). + + constant <node> <port> [<bit>] <value> + + Call Graph::createConstant(). + + extern <node> [<port> [<bit>]]+ + + Mark signals as extern via Graph::markExtern(). + + allextern + + Mark all signals as extern via Graph::markAllExtern(). + +The following commands can be used in scshell outside a graph ... endgraph block: + + compatible <needle_type> <haystack_type> + + Call Solver::addCompatibleTypes(). + + constcompat <needle_value> <haystack_value> + + Call Solver::addCompatibleConstants(). + + swapgroup <needle_type> <port>+ + + Call Solver::addSwappablePorts(). + + swapperm <needle_type> <ports>+ : <ports>+ + + Call Solver::addSwappablePortsPermutation(). Both port lists must + have the same length and the second one must be a permutation of the + first one. + + initmap <needle_node> <haystack_node>+ + + Add an entry to the initial mappings for the next solve command. + This mappings are automatically reset after the solve command. + + solve <needle_graph> <haystack_graph> [<allow_overlap> [<max_solutions>]] + + Call Solver::solve(). The <allow_overlap> must be "1" or "true" + for true and "0" or "false" for false. + + expect <number> + + Print all results so far since the last call to expect. Expect + <number> results and exit with error code 1 if a different number + of results have been found. + + clearoverlap + + Call Solver::clearOverlapHistory(). + + clearconfig + + Call Solver::clearConfig(). + + verbose + + Call Solver::setVerbose(). + |