Performance Evaluation of Parallel Algorithms

TL;DR

This paper compares the performance of various parallel algorithms using both theoretical and experimental methods, demonstrating that parallel algorithms generally outperform sequential ones in throughput and speedup.

Contribution

It provides a comprehensive evaluation of parallel algorithms' performance, combining theoretical analysis with experimental results to highlight their advantages over sequential algorithms.

Findings

Parallel algorithms achieve higher throughput than sequential algorithms.

Performance assessment includes both theoretical and experimental methods.

Parallel algorithms show significant speedup in performance evaluations.

Abstract

Evaluating how well a whole system or set of subsystems performs is one of the primary objectives of performance testing. We can tell via performance assessment if the architecture implementation meets the design objectives. Performance evaluations of several parallel algorithms are compared in this study. Both theoretical and experimental methods are used in performance assessment as a subdiscipline in computer science. The parallel method outperforms its sequential counterpart in terms of throughput. The parallel algorithm's performance (speedup) is examined, as shown in the result.