Osondu E. Oguike

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— Using a queuing approach to describe a shared memory parallel computer system, it can be considered as a parallel computer system with a shared single ready queue. This can depict a single queue parallel server queuing model. Some models that are based on probability density function have been used to model the performance of the queuing system. This(More)
— A distributed memory heterogeneous parallel computer system can be described as a heterogeneous parallel computer system where each of the processors has its own memory. In a heterogeneous parallel computer system, the computational resources distributed to each of the processors, like memory capacity and processor speed differ from one another. Since the(More)
Recursive models have been used in the past to model the variation of number of processes in all the queuing systems of heterogeneous parallel computer system. The main reasons for the use of recursive models when modeling the variation of number of processes in all the queuing systems of a heterogeneous parallel computer system is the inability of the(More)
— In a heterogeneous parallel computer system, the computational power of each of the processors differs from one another. Furthermore, with distributed memory, the capacity of the memory, which is distributed to each of the processors, differs from one another. Using queuing system to describe a distributed memory heterogeneous parallel computer system,(More)
Bivariate data can be defined as a collection of n pairs of data. Bivariate numeric data can be very useful in statistical analysis because it can be used to compute some important statistics, like correlation coefficient, regression analysis parameters, covariace etc. Though the recursive algorithms that will use binary tree to store and manipulate(More)
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