Parallelization example sentences
parallelization
definition
- noun form of parallelize
par·al·lel·ize
verb computing
parallelize (verb) · parallelizes (third person present) · parallelized (past tense) · parallelized (past participle) · parallelizing (present participle) · parallelise (verb) · parallelises (third person present) · parallelised (past tense) · parallelised (past participle) · parallelising (present participle)
- adapt (a program) for running on a parallel processing system:
Synonyms
parallelize"Parallelization" Example Sentences
1. Parallelization of the algorithm significantly reduced processing time.2. The key to efficient processing is parallelization.
3. We achieved a 10x speedup through effective parallelization techniques.
4. Parallelization offers a compelling solution to our scalability problems.
5. His research focuses on the optimization of parallelization strategies.
6. The limitations of current hardware hampered the full potential of parallelization.
7. Understanding the nuances of parallelization is crucial for high-performance computing.
8. Proper parallelization is essential for handling large datasets.
9. They developed a novel approach to parallelization in their latest publication.
10. The software's architecture facilitates easy parallelization.
11. Without parallelization, the task would have taken weeks.
12. Improved parallelization led to a smoother user experience.
13. Data parallelization improved the speed of our simulations.
14. The benefits of parallelization outweigh the initial complexities.
15. He presented a compelling argument for increased parallelization in the system.
16. Task parallelization is a key concept in concurrent programming.
17. Efficient parallelization requires careful consideration of data dependencies.
18. The challenge lies in achieving optimal parallelization across different hardware.
19. We explored different methods of parallelization to find the most effective one.
20. Future development will focus on enhancing the parallelization capabilities.
21. This software supports both data and task parallelization.
22. The impact of parallelization on performance was remarkable.
23. Achieving high levels of parallelization is not always straightforward.
24. They are investigating new techniques for improving parallelization efficiency.
25. The team dedicated significant effort to optimizing parallelization.
26. Parallelization, in this context, refers to distributing workload across multiple cores.
27. Good parallelization requires careful planning and code design.
28. Poor parallelization can lead to performance degradation.
29. The study concluded that parallelization offers significant advantages.
30. Implementing effective parallelization is crucial for big data analytics.
31. We observed a significant speedup with the implementation of parallelization.
32. The algorithm's inherent structure facilitated easy parallelization.
33. Despite the challenges, the gains from parallelization were considerable.
34. Advanced parallelization techniques are essential in modern scientific computing.
35. The introduction of parallelization revolutionized the workflow.
36. His expertise lies in the area of high-performance computing and parallelization.
37. Further research is needed to fully understand the potential of parallelization.
38. They achieved near-linear scalability thanks to efficient parallelization.
39. The complexity of parallelization should not be underestimated.
40. The project's success hinged on the successful implementation of parallelization.
41. Optimization of parallelization remains an active area of research.
42. Parallelization is a key factor in reducing latency.
43. The system's design prioritized parallelization for enhanced throughput.
44. Through parallelization, we reduced runtime from days to hours.
45. The limitations of parallelization were discussed in the concluding remarks.
46. He is writing a book on the principles and practice of parallelization.
47. Advanced parallelization strategies are critical for handling massive datasets.
48. The use of parallelization allowed for real-time processing.
49. Understanding the overhead associated with parallelization is vital.
50. The future of computing depends heavily on advancements in parallelization.
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