Cuda example sentences

"Cuda" Example Sentences

1. I have a CUDA-enabled graphics card in my computer.
2. The CUDA framework is widely used for parallel computing.
3. He spent countless hours programming in CUDA to optimize his algorithm.
4. The new version of CUDA promises better performance and efficiency.
5. Her research project involves implementing CUDA to speed up simulations.
6. The latest game release requires a GPU with CUDA support.
7. He was able to achieve impressive results by utilizing CUDA in his neural network model.
8. The company's flagship product utilizes the power of CUDA to deliver lightning-fast processing speeds.
9. She specialized in developing CUDA-based applications during her time at the university.
10. The team plans to transition their codebase to CUDA to take advantage of its capabilities.
11. The programming language specifically designed for CUDA is called CUDA C.
12. She attended a workshop on CUDA programming to improve her skills.
13. The CUDA technology has revolutionized the field of high-performance computing.
14. His thesis project focuses on using CUDA for real-time image processing.
15. The feature extraction process was significantly accelerated by utilizing CUDA.
16. The software company recently added CUDA support to their flagship product.
17. The company's new supercomputer relies heavily on the CUDA framework for its processing power.
18. He recommends utilizing CUDA for anyone who needs to process large amounts of data quickly.
19. Her groundbreaking research involved using CUDA to simulate the behavior of complex systems.
20. The CUDA runtime libraries provide a set of high-level functions and utilities for the framework.
21. The latest version of CUDA introduces a number of new features and capabilities.
22. The CUDACast podcast is an excellent resource for learning about GPU programming with CUDA.
23. The team was able to dramatically reduce processing times by parallelizing their code using CUDA.
24. The CUDA toolkit includes a comprehensive set of development tools and libraries.
25. Integrating CUDA into their existing workflow allowed the team to achieve impressive results with minimal effort.
26. The development of the CUDA technology was a major milestone in the field of GPU computing.
27. The team's research project involved developing a novel algorithm that utilized CUDA for optimal performance.
28. The CUDA programming model enables developers to easily harness the power of GPU processing.
29. He published a paper describing his work with CUDA in a leading scientific journal.
30. The NVIDIA company has been a major proponent of the CUDA framework since its inception.

Common Phases

1. CUDA toolkit installation;
2. CUDA device querying;
3. CUDA memory allocation;
4. CUDA kernel launch;
5. CUDA data transfer;
6. CUDA stream creation;
7. CUDA grid configuration;
8. CUDA event recording;
9. CUDA shared memory usage;
10. CUDA debugging and profiling.