Parallelize example sentences
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:
"Parallelize" Example Sentences
1. We need to parallelize the data processing to speed up the analysis.2. The algorithm can be easily parallelized to take advantage of multi-core processors.
3. How can we parallelize this computationally intensive task?
4. They decided to parallelize the workflow to improve efficiency.
5. Parallelizing the simulations significantly reduced the runtime.
6. The software is designed to automatically parallelize code for optimal performance.
7. It's crucial to parallelize the rendering process for faster image generation.
8. The challenge was to effectively parallelize the code without introducing errors.
9. We attempted to parallelize the database queries but encountered synchronization issues.
10. Properly parallelizing the program required careful consideration of data dependencies.
11. The ability to parallelize computations is a key advantage of this architecture.
12. To parallelize the task efficiently, we employed a distributed computing framework.
13. Researchers are exploring new ways to parallelize complex scientific simulations.
14. Parallelizing the application resulted in a tenfold speed increase.
15. The parallelized version of the code ran significantly faster than the sequential version.
16. One way to parallelize the work is to use multiple threads.
17. This algorithm is inherently difficult to parallelize due to data dependencies.
18. The system automatically parallelizes tasks based on available resources.
19. Parallelization is essential for handling large datasets efficiently.
20. We must parallelize the process to meet the deadline.
21. His research focuses on techniques for parallelizing machine learning algorithms.
22. The team succeeded in parallelizing the computationally intensive simulation.
23. The benefits of parallelizing are undeniable in this context.
24. Careful planning is needed to effectively parallelize this complex program.
25. They had to parallelize the project to finish on time.
26. Parallelizing the code improved scalability and reduced latency.
27. The software's ability to parallelize tasks is a key selling point.
28. The goal is to parallelize as much of the processing as possible.
29. We were able to parallelize the encryption process using GPUs.
30. He learned how to parallelize algorithms during his graduate studies.
31. The framework facilitates parallelizing tasks across multiple machines.
32. Parallelized algorithms are often more efficient than sequential ones.
33. They are working on a new method to parallelize graph computations.
34. The research paper explores different approaches to parallelizing the algorithm.
35. The team's parallelized approach reduced the processing time by 75%.
36. Effective parallelization requires careful consideration of load balancing.
37. Proper synchronization mechanisms are crucial when you parallelize code.
38. Parallelizing the rendering pipeline enhanced the user experience.
39. The need to parallelize became apparent as the dataset grew.
40. The system efficiently parallelizes the workload across multiple cores.
41. The programmer's skill in parallelizing code is highly valued.
42. Learning to parallelize is an essential skill for high-performance computing.
43. Parallelized tasks ran concurrently, significantly reducing the overall time.
44. It's possible to parallelize certain aspects of the program, but not all.
45. The project requires a deep understanding of how to parallelize tasks.
46. They chose to parallelize the solution using a message-passing interface.
47. The parallelized application showed a significant improvement in performance.
48. Parallelizing the search algorithm increased its speed and efficiency.
49. We can parallelize the execution of these independent calculations.
50. The architecture is optimized for parallelizing numerous computations simultaneously.
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