  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.
