Performance Evaluation of Parallel Algorithms
| Autor: | Donald Ene, Vincent Ike Anireh |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Performance (cs.PF)
FOS: Computer and information sciences Computer Science - Performance Computer Science - Distributed Parallel and Cluster Computing Computer Science - Data Structures and Algorithms Data Structures and Algorithms (cs.DS) General Medicine Distributed Parallel and Cluster Computing (cs.DC) |
| DOI: | 10.48550/arxiv.2209.06450 |
| Popis: | 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. Comment: 4 Pages, 1 figure |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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