In this study, an optimization strategy based on balanced KD tree and multithreaded parallel computing is proposed to address this problem. Experimental results show that the optimized KNN algorithm ...

This way, you can reduce the overall execution time and increase the throughput of your algorithm. Parallel computing can be applied to various domains, such as scientific computing, machine ...

The Parallel Algorithm The message passing model will be used in the ... Experiments have been carried out both on each single computer and on the two connected to a local network. In Table 1 we ...

Parallel processing is a technique that allows multiple tasks to run simultaneously on different processors or cores, speeding up the execution of complex algorithms. However, parallel processing ...

Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms ...

In addition, the idea of parallel is established to optimize the time. To test the performance of the algorithm, the algorithm is applied ... 2019 IEEE 21st International Conference on High ...

This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and ...

Although useless as a program because of efficiency issues, this example is the "hello world" program of parallel computing. Let us start by considering a sequential algorithm. Following the ...

Welcome to the Algorithms and Parallel Computing course! This repository contains the exercises and laboratory assignments designed to help you learn and practice the concepts of algorithms and ...

We are going to implement a parallel version of algorithm(s) for work-efficient parallel suffix array construction on the CPU. Time permitting, we will implement applications of suffix arrays such as ...