Product requirements often dictate the use of off-the-shelf processors for very fast signal processing applications. Additionally, restrictions on cost, power, or size/weight may preclude the use of specialized vector processors for implementation of the algorithms. We discuss a new method for performing signed parallel processing in scalar, off-theshelf processors for integerized signal proces...

We present a combination of techniques from molecular, flow, and scalar data visualization to reveal the characteristics and processes in the data of this year’s IEEE scientific visualization contest. Among the challenges we had to address were the strong thermal vibration of the molecular data as well as the fact that the simulated material did not behave as we would have expected according to...

For the visualization of diffusion tensor imaging data, different approaches have been presented such as scalar metrics, glyphs or streamlines. Thereby, streamline techniques commonly referred to as fiber tracking provide a comprehensive and intuitive representation. For this reason, they are preferably applied for preoperative planning. The visualization of streamlines is solved by rendering l...

The theory of locally convex cones, as developed in [3], deals with ordered cones that are not necessarily embeddable in vector spaces. A topological structure is introduced using order theoretical concepts. We will review some of the main concepts and globally refer to [3] for details and proofs. An ordered cone is a set endowed with an addition and a scalar multiplication for nonnegative real...

1.1. Constructions. To get from R to C, we can tensor with C. In a more coordinate-free manner, if W is an R-vector space, then its complexification WC := W ⊗R C is a C-vector space. We can view W as an R-subspace of WC by identifying each w ∈ W with w⊗ 1 ∈ WC. Then an R-basis of W is also a C-basis of WC. In particular, WC has the same dimension as W (but is a vector space over a different fie...

Wide Issue super scalar processors are very complex machines. Simplescalar toolset makes the job of selected parameter simulation for such processors a lot easier. The use of critical quantitative analysis based upon the SimpleScalar simulations augmented with a qualitative analysis for a rational cost/performance model is necessary to select optimal parameter values for the processor aimed at ...

This paper investigates the effect of structure-preserving perturbations on the eigenvalues of linearly and nonlinearly structured eigenvalue problems. Particular attention is paid to structures that form Jordan algebras, Lie algebras, and automorphism groups of a scalar product. Bounds and computable expressions for structured eigenvalue condition numbers are derived for these classes of matri...

In this paper we follow the lines of recent works to investigate systems of two coupled real scalar fields defined by potentials that describe periodic interactions between the scalar fields. We work with polymeric chains containing periodic interactions between the coupled fields, and we investigate the topological sectors to obtain explicit soliton solutions and their corresponding energy. In...

Required libraries: The code uses the FF library [3] to calculate scalar one-loop integrals and the dilogarithm. Random numbers for the Monte Carlo integration are generated using the Ranlux library written by Martin Lüscher [4]. Monte Carlo integration is done using an adapted version of Vegas [5, 6]. For convenience Ranlux and the FF library are included in the package. Please cite the aforem...

In this paper, we present the process of pipelining using superscalar processor. A super-scalar processor is one that is capable of sustaining an instruction-execution rate of more than one instruction per clock cycle. Maintaining this execution rate is primarily a problem of scheduling processor resources (such as functional units) for high utilization. Multiple pipes are used for improving th...