Peter Kilpatrick

Computer Science

1. Accuracy 20%
2. Algorithms 66%
3. Application 84%
4. Architectural Style 14%
5. Architecture Description Language 19%
6. Business Performance 14%
7. Case Study 29%
8. Computation 28%
9. Computing 16%
10. Control 15%
11. Data Center 16%
12. Decision-Making 15%
13. Deep Neural Network 40%
14. Design 50%
15. Design Patterns 34%
16. Distributed Application 16%
17. Distributed Systems 32%
18. Domains 14%
19. Downtime 14%
20. Edge Computing 19%
21. Evaluation 20%
22. Experimental Result 34%
23. Federated Learning 26%
24. Formal Specification 19%
25. Map-Reduce 14%
26. Memory Database 16%
27. Models 100%
28. Multicore 43%
29. Parallel Application 55%
30. Parallel Computation 14%
31. Parallel Pattern 39%
32. Parallel Program 16%
33. Parallel Programming 53%
34. Parallelism 34%
35. Performance Model 15%
36. Prediction Performance 15%
37. Programming Framework 21%
38. Programs 43%
39. Quality of Service 23%
40. Real World 26%
41. Refactoring 30%
42. Related Performance 15%
43. Scheduling 20%
44. Server 15%
45. Service 35%
46. Software 33%
47. Software Architecture 16%
48. User 43%
49. Virtual Machine 28%
50. Virtualized Environment 15%