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Performance Evaluation of Matrix Multiplication Using Mix Mode Optimization Techniques And Open MP For Multi-Core Processors

机译:使用混合模式优化技术和Open MP的多核处理器矩阵乘法的性能评估

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摘要

Matrix Multiplication is one of the most commonly used algorithm in many application areas like Sonar Systems, Relational Database Management System and other applications like algebra etc. Matrix Multiplication is quite difficult when it tends to infinity. In this paper we study and evaluate the execution time of simple matrix multiplication and optimized matrix multiplication with OpenMP on multi-core machine with same set of data values. Optimization techniques reduces space requirement and ensures fast execution. OpenMP is a very well known standard that exploits parallelism in shared memory architecture. The evaluation is based on simple execution of the algorithm that uses single thread for computation whereas the one with optimization techniques and OpenMP with multi-threads.
机译:矩阵乘法是声纳系统,关系数据库管理系统以及代数等其他应用程序中许多应用领域中最常用的算法之一。当矩阵乘法趋于无穷大时,矩阵乘法就非常困难。在本文中,我们研究和评估了在具有相同数据值集的多核计算机上使用OpenMP进行简单矩阵乘法和优化矩阵乘法的执行时间。优化技术可减少空间需求并确保快速执行。 OpenMP是一个非常著名的标准,它利用共享内存体系结构中的并行性。评估基于简单执行算法的算法,该算法使用单线程进行计算,而使用优化技术的算法和使用多线程的OpenMP。

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