We developed a high speed eigenvalue solver that is an essential part of a plasma stability analysis system for fusion reactors on a Cell cluster system. In order to achieve continuous operation of fusion reactors, we must evaluate the state of plasma within the characteristic confinement time of the plasma density and temperature in fusion reactors. This is because we can prevent plasma from b...

studied in this report. We can see, in general, that low accuracies will require less overlapping and, in those cases, the algorithm will run faster. As the diagonal dominance increases, the amount of overlapping will be lower and the timings for different accuracies within the same diagonal dominance will get closer and closer. In this report we presented the Overlapped Partitions Method, a me...

Timed automata (TA) are a widely used model for real-time systems. Several tools are dedicated to this model, and they mostly implement a forward analysis for checking reachability properties. Though diagonal constraints do not add expressive power to classical TA, the standard forward analysis algorithm is not correct for this model. In this paper we survey several approaches to handle diagona...

We report the results of matching experiments designed to study the color appearance of objects rendered under different simulated illuminants on a CRT monitor. Subjects set asymmetric color matches between a standard object and a test object that were rendered under illuminants with different spectral power distributions. For any illuminant change, we found that the mapping between the cone co...

We discovered a specific rule for generating typical quadrupedal gaits (the order of the movement of four legs) through a simulated quadrupedal locomotion, in which unprogrammed gaits (diagonal/lateral sequence walks, left/right-lead canters, and left/right-lead transverse gallops) spontaneously emerged because of leg loading feedbacks to the CPGs hard-wired to produce a default trot. Additiona...

Algorithms are often parallelized based on data dependence analysis manually or by means of parallel compilers. Some vector/matrix computations such as the matrix-vector products with simple data dependence structures (data parallelism) can be easily parallelized. For problems with more complicated data dependence structures, parallelization is less straightforward. The data dependence graph is...

This letter propose a new method based on covariance sparse target recovery for Direction of Departure (DOD) and Direction of Arrival (DOA) in bistatic multi -input multi-output radar. The letter use this property that the number of target in the space is low. In this paper we recover the power of incident signal as a diagonal matrix which its diagonal element are corresponding to the impinging...

Today power consumption is considered to be one of the important issues. Therefore, its reduction plays a considerable role in developing systems. Previous studies have shown that approximately 50% of total power consumption is used in cache memories. There is a direct relationship between power consumption and replacement quantity made in cache. The less the number of replacements is, the less...

It is well known that Nash-type inequalities for symmetric Dirichlet forms are equivalent to on-diagonal heat kernel upper bounds the associated Markov semigroups. In this paper, we show both imply (and hence to) off-diagonal under some mild assumptions. Our approach based on a new generalized Davies' method. results extend of [6] with power order considerably and also [26] second differential ...

We characterize the natural diagonal almost product (locally product) structures on the tangent bundle of a Riemannian manifold. We obtain the conditions under which the tangent bundle endowed with the determined structure and with a metric of natural diagonal lift type is a Riemannian almost product (locally product) manifold, or an (almost) para-Hermitian manifold. We find the natural diagona...