Maurice Jamieson

Computer Science

1. Core Architecture 100%
2. Compiler 61%
3. Hardware 60%
4. Workload 45%
5. Vectors 40%
6. Benchmarking 35%
7. Benchmark 33%
8. Vectorization 32%
9. Classes 30%
10. Programs 27%
11. Testbed 25%
12. Code Generation 20%
13. Coprocessor 20%
14. Memory Hierarchy 20%
15. High-Performance Computing 20%
16. Performance Optimization 20%
17. Domains 20%
18. Fortran 20%
19. Multilayered Approach 20%
20. Transformations 20%
21. Parallelization 20%
22. Data Center 16%
23. Computing Power 16%
24. Supercomputer 16%
25. Computational Kernel 13%
26. Interpreter 13%
27. Portability 13%
28. Perform Experiment 10%
29. Detection 10%
30. Reference Model 10%
31. Provide Context 10%
32. Power Efficiency 10%
33. Data Streaming 10%
34. Sensor 10%
35. Power Constraint 10%
36. Pass by Reference 10%
37. Core Technology 10%
38. Kernel 10%
39. Machine Learning 10%
40. Design 10%
41. Roles 10%
42. Code Performance 10%
43. Density Functional Theory 10%
44. Contexts 10%
45. Semantics 10%
46. High-Level Programming Language 10%
47. Domain-Specific Language 10%
48. Software Developer 10%
49. Best Practice 10%
50. reconfigurable architecture 10%