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We present a logical formalism for expressing properties of continuous time Markov chains. The semantics for such properties arise as a natural extension of previous work on discrete time Markov chains to continuous time. The major result is that the veriication problem is decidable; this is shown using results in algebraic and transcendental number theory.
— We present a robust and efficient algorithm for combina-tional test generation using a reduction to satisfiability (SAT). The algorithm , TEGUS, has the following features. We choose a form for the test set characteristic equation which minimizes its size. The simplified equation is solved by an algorithm for SAT using simple, but powerful, greedy(More)
—Last spring, in March 2010, Aaron Bradley published the first truly new bit-level symbolic model checking algorithm since Ken McMillan's interpolation based model checking procedure introduced in 2003. Our experience with the algorithm suggests that it is stronger than interpolation on industrial problems , and that it is an important algorithm to study(More)
We present a logical formalism for expressing properties of continuous-time Markov chains. The semantics for such properties arise as a natural extension of previous work on discrete-time Markov chains to continuous time. The major result is that the verification problem is decidable; this is shown using results in algebraic and transcendental number theory.
This paper presents a technique for preprocessing combinational logic before technology mapping. The technique is based on the representation of combinational logic using And-Inverter Graphs (AIGs), a networks of two-input ANDs and inverters. The optimization works by alternating DAG-aware AIG rewriting, which reduces area by sharing common logic without(More)
The paper presents several improvements to state-of-the-art in FPGA technology mapping exemplified by a recent advanced technology mapper DAOmap [Chen and Cong, ICCAD '04]. Improved cut enumeration computes all K-feasible cuts without pruning for up to 7 inputs for the largest MCNC benchmarks. A new technique for on-the-fly cut dropping reduces by orders of(More)