Degree of parallelism

About: Degree of parallelism is a research topic. Over the lifetime, 1515 publications have been published within this topic receiving 25546 citations.

Multi-threading inside prolog for knowledge-based enterprise applications

Abstract: A knowledge-based system is suitable for realizing advanced functions that require domain-specific expert knowledge in enterprise-mission-critical information systems (enterprise applications). This paper describes a newly implemented multi-threaded Prolog system that evolves single-threaded Inside Prolog. It is intended as a means to apply a knowledge-based system written in Prolog to an enterprise application. It realizes a high degree of parallelism on an SMP system by minimizing mutual exclusion for scalability essential in enterprise use. Also briefly introduced is the knowledge processing server which is a framework for operating a knowledge-based system written in Prolog with an enterprise application. Experimental results indicated that on an SMP system the multi-threaded Prolog could achieve a high degree of parallelism while the server could obtain scalability. The application of the server to clinical decision support in a hospital information system also demonstrated that the multi-threaded Prolog and the server were sufficiently robust for use in an enterprise application.

Apparatus for measuring degree of parallelism of plane-parallel plates

Abstract: PURPOSE:To make it possible to simultaneously and accurately measure the degree of parallelism of a matter to be measured without turning over the same and without receiving the effect of dust etc., by arranging Fizeau type interferometers to the front and back sides of the matter to be measured in opposed relation to each other. CONSTITUTION:In using the titled apparatus, opposed reference plates 16, 26 are set as a first stage while an interference fringe is observed so as to bring the degree of parallelism between both plates to zero. Next, a plane-parallel plate 30 being a matter to be measured is set at a predetermined position. In this setting, the parallel plane plate 30 is supported by a support mechanism constituted so as to be three-dimensionally movable on the common optical axis of first and second Fizeau type interferometers. In such a state that the plane-parallel plate 30 is held as it is, the degree of parallelism between said plate 26 and the back surface 32 of the matter to be measured is calculated using the second Fizeau type interferometer. By the above mentioned measuring procedure, the degree of parallelism of the front surface 31 and back surface 32 of the plane-parallel plate 30 can be easily measured.

Method for carrying out rapid probability modeling on large-scale renewable energy source data

Abstract: The invention discloses a method for carrying out rapid probability modeling on large-scale renewable energy source data. The method comprises the following steps of: building a distributed parallel framework for rapid new energy source modeling on the basis of a Spark and an HDFS, and enabling the framework to be compatible with an existing storage system of renewable energy sources; constructinga parentage map for solving Wakeby by utilizing RDD fault tolerance and memory calculation-based characteristics, so as to realize an RDD-based rapid novel Wakeby distribution estimation algorithm; and deducing a function relationship between a calculation time of the parallel estimation algorithm and a sample data size and two important adjustable parameters of the Spark. According to the method, the deduced function relationship between the time consumption of the algorithm and the sample size, a degree of parallelism and a number of partitions is beneficial for helping program adjustment and optimization of programmers on a Spark platform, time consumption prediction of the programmers under given configuration and hardware configuration of the programmers under an expected time undera given sample data size.

DSP application to fast parallel processing in JT-60U plasma control

Abstract: A parallel processing system is designed for plasma position and shape control in the JT-60 upgrade tokamak. Fast digital signal processors (DSPs) which have inter-processor communication ports are applied to the system. The optimum number of the DSPs is estimated according to the degree of parallelism in the control processing and its allowable delay.

Limits of parallelism in explicit ODE methods

Abstract: Numerical methods for ordinary initial value problems that do not depend on special properties of the system are usually found in the class of linear multistage multivalue methods, first formulated by J.C. Butcher. Among these the explicit methods are easiest to implement. For these reasons there has been considerable research activity devoted to generating methods of this class which utilize independent function evaluations that can be performed in parallel. Each such group of concurrent function evaluations can be regarded as a stage of the method. However, it turns out that parallelism affords only limited opportunity for reducing the computing time with such methods. This is most evident for the simple linear homogeneous constant-coefficient test problem, whose solution is essentially a matter of approximating the exponential by an algebraic function. For a given number of stages and a given number of saved values, parallelism offers a somewhat enlarged set of algebraic functions from which to choose. However, there is absolutely no benefit in having the degree of parallelism (number of processors) exceed the number of saved values of the method. Thus, in particular, parallel one-step methods offer no speedup over serial one-step methods for the standard linear test problem. Although the implication of this result for general nonlinear problems is unclear, there are indications that dramatic speedups are not possible in general. Also given are some results relevant to the construction of methods.