37657
Symmetry detection for large Boolean functions using circuit representation, simulation, and satisfiability
Classical two-variable symmetries play an important role in many EDA applications, ranging from logic synthesis to formal verification. This paper proposes a complete circuit-based method that makes uses of structural analysis, integrated simulation and Boolean satisfiability for fast and scalable detection of classical symmetries of completely-specified Boolean functions. This is in contrast to previous incomplete circuit-based methods and complete BDD-based methods. Experimental results demonstrate that the proposed method works for large Boolean functions, for which BDDs cannot be constructed
25278610
Topologically constrained logic synthesis
SPFDs, a mechanism for expressing flexibility during logic synthesis, were first introduced for FPGA synthesis. They were then extended to general, combinational Boolean networks and later the concept of sequential SPFDs was introduced. In this paper, we explore the idea of using SPFDs for functional decomposition. A new type of functional decomposition called topologically constrained decomposition is introduced. An algorithm is provided for solving this problem using SPFDs. Preliminary experimental results are encouraging and indicate the feasibility of the approach. A scheme is also presented for generating instances of the topologically constrained decomposition problem.
47061812
Simplification of non-deterministic multi-valued networks
We discuss the simplification of non-deterministic multi-valued (MV) networks and their internal nodes using internal flexibilities. Given the network structure and its external specification, the flexibility at a node is derived as a non-deterministic MV relation. This flexibility is used to simplify the node representation and enhance the effect of Boolean resubstitution. We show that the flexibility derived is maximum. The proposed approach has been implemented and tested in MVSIS. Experimental results show that it performs well on a variety of MV and binary benchmarks.
10625095
Optimization of multi-valued multi-level networks
A program called MVSIS (Multi-Valued Sequential Interactive Synthesis) has been developed which optimizes multi-level multi-valued (MV) networks. We describe what such a network is and the capabilities contained in MVSIS. MVSIS is modeled after SIS (Sequential Interactive Synthesis), which synthesizes binary multi-level networks, but the logic network of MVSIS is such that all variables can be multi-valued, each with its own range. Included in MVSIS are almost all the technology-independent transformations of SIS for combinational and sequential logic synthesis as well as transformations specific to multi-valued nodes, such as "merge", "pair-decode" and "encode". MVSIS can read and write BLIF-MV and BLIF (Berkeley Logic Interchange Format) files which describe MV networks and binary networks respectively.
15000076
Whirlpool PLAs: a regular logic structure and their synthesis
A regular circuit structure called a Whirlpool PLA (WPLA) is proposed. It is suitable for the implementation of finite state machines as well as combinational logic. A WPLA is logically a four-level Boolean NOR network. By arranging the four logic arrays in a cycle, a compact layout is achieved. Doppio-ESPRESSO, a four-level logic minimization algorithm is developed for WPLA synthesis. No technology mapping, placement or routing is necessary for the WPLA. Area and delay trade-off is absent, because these two goals are usually compatible in WPLA synthesis.
7226318
River PLAs: a regular circuit structure
A regular circuit structure called a River PLA and its re-configurable version, Glacier PLA, are presented. River PLAs provide greater regularity than circuits implemented with standard-cells. Conventional optimization stages such as technology mapping, placement and routing are eliminated. These two features make the River PLA a highly predictable structure. Glacier PLAs can be an alternative to FPGAs, but with a simpler and more efficient design methodology.
2180463
Combinational test generation using satisfiability
We present a robust, efficient algorithm for combinational test generation using a reduction to satisfiability (SAT). The algorithm, Test Generation Using Satisfiability (TEGUS), solves a simplified test set characteristic equation using straightforward but powerful greedy heuristics, ordering the variables using depth-first search and selecting a variable from the next unsatisfied clause at each branching point. For difficult faults, the computation of global implications is iterated, which finds more implications than previous approaches and subsumes structural heuristics such as unique sensitization. Without random tests or fault simulation, TEGUS completes on every fault in the ISCAS networks, demonstrating its robustness, and is ten times faster for those networks which have been completed by previous algorithms. Our implementation of TEGUS can be used as a base line for comparing test generation algorithms; we present comparisons with 45 recently published algorithms. TEGUS combines the advantages of the elegant organization of SAT-based algorithms with the efficiency of structural algorithms.
38476306
Partial-Order Reduction in Symbolic State-Space Exploration
State-space explosion is a fundamental obstacle in the formal verification of designs and protocols. Several techniques for combating this problem have emerged in the past few years, among which two are significant: partial-order reduction and symbolic state-space search. In asynchronous systems, interleavings of independent concurrent events are equivalent, and only a representative interleaving needs to be explored to verify local properties. Partial-order methods exploit this redundancy and visit only a subset of the reachable states. Symbolic techniques, on the other hand, capture the transition relation of a system and the set of reachable states as boolean functions. In many cases, these functions can be represented compactly using binary decision diagrams (BDDs). Traditionally, the two techniques have been practiced by two different schools—partial-order methods with enumerative depth-first search for the analysis of asynchronous network protocols, and symbolic breadth-first search for the analysis of synchronous hardware designs. We combine both approaches and develop a method for using partial-order reduction techniques in symbolic BDD-based invariant checking. We present theoretical results to prove the correctness of the method, and experimental results to demonstrate its efficacy.
34510774
Sequential circuit design using synthesis and optimization
A description is given of SIS, an interactive tool for synthesis and optimization of sequential circuits. Given a state transition table or a logic-level description of a sequential circuit, SIS produces an optimized net-list in the target technology while preserving the sequential input-output behavior. Many different programs and algorithms have been integrated into SIS, allowing the user to choose among a variety of techniques at each stage of the process. It is built on top of MISII and includes all (combinational) optimization techniques therein as well as many enhancements. SIS serves as both a framework within which various algorithms can be tested and compared and as a tool for automatic synthesis and optimization of sequential circuits.<<ETX>>
2623306
Partial-Order Reduction in Symbolic State Space Exploration
State space explosion is a fundamental obstacle in formal verification of designs and protocols. Several techniques for combating this problem have emerged in the past few years, among which two are significant: partial-order reductions and symbolic state space search. In asynchronous systems, interleavings of independent concurrent events are equivalent, and only a representative interleaving needs to be explored to verify local properties. Partial-order methods exploit this redundancy and visit only a subset of the reachable states. Symbolic techniques, on the other hand, capture the transition relation of a system and the set of reachable states as boolean functions. In many cases, these functions can be represented compactly using binary decision diagrams (BDDs). Traditionally, the two techniques have been practiced by two different schools—partial-order methods with enumerative depth-first search for the analysis of asynchronous network protocols, and symbolic breadth-first search for the analysis of synchronous hardware designs. We combine both approaches and develop a method for using partial-order reduction techniques in symbolic BDD-based invariant checking. We present theoretical results to prove the correctness of the method, and experimental results to demonstrate its efficacy.
17361322
Compatible observability don't cares revisited
CODCs stands for compatible observability don't cares. We first examine the definition of compatibility and when a set of CODCs is compatible. We then discuss Savoj's CODC computation for propagating CODCs from a node's output to its fanins, and show by example, that the results can depend on the current implementation of the node. Then we generalize the computation so that the result is independent of the implementation at the node. The CODCs propagated by this computation are proved to be maximal in some sense. Local don't cares (LDCs) are CODCs of a node, pre-imaged to the primary inputs and then imaged and projected to the local fanins of the node. LDCs combine CODCs with SDCs (satisfiability don't cares), but only the CODC part is propagated to the fanin network. Another form of local don't cares, propagates both the CODC and SDC parts to the fanin network. Both are shown to be compatible in some sense, but conservative. We give a method for updating both kinds of local don't cares incrementally when other nodes in the network are changed.