Hans Vandierendonck

Computer Science

1. Parallelism 100%
2. Data Structure 84%
3. Energy Efficient 78%
4. Learning System 58%
5. Machine Learning 58%
6. Runtime System 51%
7. Compiler 51%
8. Programming Model 50%
9. Degree Distribution 50%
10. Energy Efficiency 48%
11. Energy Consumption 44%
12. Data Center 42%
13. Data Analytics 40%
14. Graphics Processing Unit 35%
15. Execution Time 34%
16. Many-Core 33%
17. Deep Learning Model 33%
18. Main Memory 31%
19. Parallel Programming 30%
20. Floating Point 30%
21. Graph Analytics 29%
22. Approximate Computing 29%
23. Large Language Model 29%
24. Memory Access 28%
25. Case Study 27%
26. Memory System 26%
27. Parallelization 25%
28. Quality of Service 25%
29. Similarity Graph 25%
30. System Software 25%
31. Shared Memory 25%
32. High-Performance Computing 24%
33. Convolutional Neural Network 23%
34. Conflict Miss 22%
35. Core Processor 22%
36. Annotation 22%
37. Graph Partition 21%
38. weighted graph 21%
39. Published Graph 21%
40. Approximation (Algorithm) 21%
41. Compression Technique 21%
42. Power Consumption 21%
43. Non-Volatile Memory 21%
44. Processor Architecture 19%
45. Loop Perforation 19%
46. Pipeline Parallelism 19%
47. Performance Improvement 19%
48. Machine Learning Algorithm 19%
49. Graph Algorithms 18%
50. Parallel Program 18%