Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...
The recent multi/many-core CPUs or GPUs have provided an ideal parallel computing platform to accelerate the timeconsuming analysis of radio-frequency/millimeter-wave (RF/ MM) int...
Xuexin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Ta...
In the numerical solution of large-scale eigenvalue problems, Davidson-type methods are an increasingly popular alternative to Krylov eigensolvers. The main motivation is to avoid ...
Inclusion-based points-to analysis provides a good trade-off between precision of results and speed of analysis, and it has been incorporated into several production compilers inc...
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Abstract--This paper examines the initial parallel implementation of SCATTER, a computationally intensive inelastic neutron scattering routine with polycrystalline averaging capabi...
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
The design of a parallel implementation of multilevel recursive spectral bisection on the Cray T3D is described. The code is intended to be fast enough to enable dynamic repartiti...
In this paper a parallel implementation of a watershed algorithm is proposed. The algorithm is designed for a ring-architecture with distributed memory and a piece of shared memory...
In this paper, we demonstrate how Functional Reactive Programming (FRP), a framework for the description of interactive systems, can be extended to encompass parallel systems. FRP ...