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Table 8 Energy consumption, in joules, for random sequences on the Power PC A2

From: Cache and energy efficient algorithms for Nussinov’s RNA Folding

SeqLength

Original

Transpose

ByRow

ByBox

RvsO

RvsT

BvsO

BvsT

1000

30.77

8.17

6.80

4.97

77.89%

16.70%

83.86%

39.17%

2000

287.09

62.98

54.39

37.59

81.06%

13.65%

86.91%

40.31%

3000

999.30

203.04

180.26

125.87

81.96%

11.22%

87.40%

38.01%

4000

2,380.59

489.85

427.98

295.55

82.02%

12.63%

87.59%

39.67%

5000

4,632.91

931.05

824.09

583.93

82.21%

11.49%

87.40%

37.28%

6000

8,005.23

1,609.86

1,441.21

1,011.15

82.00%

10.48%

87.37%

37.19%

7000

12,822.30

2,510.05

2,226.54

1,615.56

82.64%

11.30%

87.40%

35.64%

8000

19,100.53

3,746.28

3,393.26

2,401.00

82.23%

9.42%

87.43%

35.91%

9000

 

5,310.33

4,709.12

3,430.15

 

11.32%

 

35.41%

10,000

 

7,290.13

6,647.03

4,709.83

 

8.82%

 

35.39%

11,000

 

9,434.29

8,569.82

6,276.69

 

9.16%

 

33.47%

12,000

 

12,606.74

11,375.63

7,994.03

 

9.77%

 

36.59%

13,000

 

15,121.14

14,056.36

10,291.69

 

7.04%

 

31.94%

14,000

 

19,849.26

18,233.34

12,840.73

 

8.14%

 

35.31%

15,000

 

24,308.08

21,648.41

15,661.49

 

10.94%

 

35.57%