Optimising the Mobile Net

Computer Science

1. Autotuning 100%
2. Mobile Device 100%
3. Heuristics 66%
4. User 66%
5. OpenCL 62%
6. Kernel 62%
7. Optimization 58%
8. Power Consumption 50%
9. Construction Heuristic 50%
10. Data Center 50%
11. Stencil Pattern 50%
12. Interactive Workload 50%
13. User Experience 50%
14. Android 50%
15. Active Learning 50%
16. Performance Tuning 50%
17. Programs 41%
18. Application 41%
19. Machine Learning 41%
20. Workload 33%
21. Functions 33%
22. Energy Efficiency 33%
23. Training Data 25%
24. Design 25%
25. Design Constraint 16%
26. Hardware 16%
27. Theoretical Peak 16%
28. Computing Environment 16%
29. Software 16%
30. Power Efficient 16%
31. Lower Energy Consumption 16%
32. Events 16%
33. System Configuration 16%
34. Mobile Computing Device 16%
35. Relative Performance 16%
36. Standards 16%
37. User Interaction 16%
38. Operating Frequency 16%
39. Underlying Hardware 16%
40. Mobile Application 16%
41. Interactive Application 16%
42. Classifier 16%
43. Clock Frequency 16%
44. Interactive Environment 16%
45. Records 16%
46. Smartphones 16%
47. Classification 16%
48. Roles 16%
49. Training Instance 12%
50. Effective Optimization 12%
51. Reusable Pattern 12%
52. Dynamic Autotuning 12%
53. Client-Server Model 12%
54. Optimal Performance 12%
55. Case Study 12%
56. Models 12%
57. Computation 12%
58. Parallel Programming 12%
59. Classification Accuracy 12%
60. Use Case 12%
61. Heterogeneous System 12%
62. Parallel Program 12%
63. Availability 12%
64. Parallelism 12%
65. Application Developer 12%
66. Software Development Tool 12%
67. Speed-up 12%
68. Supervised Learning 12%
69. Training Example 12%
70. Networks 12%
71. Microprocessor 12%
72. Real World 12%
73. Proposed Mechanism 8%
74. Contexts 8%
75. Reference Input 8%
76. Desktop Application 8%
77. Compiler 8%
78. Mobile App 8%
79. Server Application 8%
80. Benchmark 8%
81. Optimization Strategy 8%
82. Transformations 8%
83. Classes 8%