How do you approach optimizing computational code for better performance?

Sample interview questions: How do you approach optimizing computational code for better performance?

Sample answer:

1. Understand the Algorithm:

2. Analyze the algorithm’s complexity and identify computationally intensive sections.

3. Choose Appropriate Data Structures:

4. Select data structures that optimize memory access and minimize overhead.

5. Optimize Loops:

6. Utilize loop unrolling, loop fusion, and parallelization techniques.

7. Vectorization:

8. Employ vectorization to exploit parallelism on modern CPUs and GPUs.

9. Memory Management:

10. Minimize memory allocation and deallocation overhead by using object pools or memory allocators.

11. Reduce Branching:

12. Avoid unnecessary branching by using conditional statements judiciously or employing branch prediction techniques.

13. Cache Optimization:

14. Organize data structures and algorithms to maximize cache utilization.

15. Data Locality:

16. Improve data locality by keeping frequently accessed d… Read full answer

    Source: https://hireabo.com/job/5_0_13/Computational%20Physicist