We propose an improvement of the famous IC3 algorithm for model checking safety properties of finite state systems. We collect models computed by the SAT-solver during the clause propagation phase of the algorithm and use them as witnesses for why the respective clauses could not be pushed forward. It only makes sense to recheck a particular clause for pushing when its witnessing model falsifie...

In this paper we put forward an annotation system for specifying a sequence of data layout transformations for loop vectorization. We propose four basic primitives for data layout transformations that programmers can compose to achieve complex data layout transformations. Our system automatically modifies all loops and other code operating on the transformed arrays. In addition, we propose data...

An efficient finite volume approach has been used to develop a three dimensional Helmholtz acoustic solver for complex geometries. This acoustic solver was utilized to obtain characteristic mode shapes and frequencies of a baffled combustion chamber. An experimental setup, including stationary and moving sensors, has also been used to measure these quantities for the same model combustion chamb...

This paper presents the development and application of a time-dependent adjoint-based method for aeroacoustic design optimization of flexible helicopter rotors in forward flight. The rotor noise signature at a farfield observer is computed with the hybrid aeroacoustic approach in which a near-body coupled computational fluid dynamics/computational structural dynamics solver provides flow and ge...

Atlases are normalized representations of anatomy that can provide a standard coordinate system for in vivo imaging studies. For Optical Bioluminescence Tomography (OBT) in small animals, the animal’s surface topography can be reconstructed from structured light measurements, but internal anatomy is unavailable unless additional CT or MR images are acquired. We present a novel method for estima...

3 Proposed Techniques – An Overview 4 3.1 Matrix Reductions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.1.1 Global Threshold Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.1.2 Local Threshold Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.1.3 Michaelis-Menten Reduction . . . . . . . . . . . . . . . . . . . . . . . ....