Peter Kilpatrick

Computer Science

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