Scientific GPU Computing for Dynamical Optimization

Computer Science

1. Interior-Point Method 100%
2. Processing Unit 100%
3. Control 100%
4. Application 100%
5. Predictive Model 100%
6. Matrix Operation 27%
7. Optimization Problem 27%
8. Simplex 18%
9. Software Package 9%
10. Underlying Architecture 9%
11. Normal Equation 9%
12. Computational Task 9%
13. Algorithms 9%
14. Primal-Dual 9%
15. Multiple Component 9%
16. Conjugate Gradients 9%
17. Mathematical Optimization 9%
18. Iterations 9%
19. Hessian Matrix 9%
20. Polynomial Complexity 9%
21. Computer 9%
22. Multicore Processor 9%
23. Linear System 9%
24. Factorization 9%
25. Cholesky Factorization 9%
26. Memory Bandwidth 9%
27. Floating-Point Operation 9%
28. Standards 9%
29. Models 9%