Table 2.

Comparison of run times of FFVA and VFFVA in small models in seconds. The results are presented as the mean and standard deviation of five runs

Model	FFVA mean(std) loading and analysis time	VFFVA mean(std) loading and analysis time	FFVA mean(std) analysis only
2 cores
Ecoli_core	19.5(0.5)	0.2(0.01)	0.37(0.1)
P_putida	19.2(0.7)	0.6(0.02)	0.81(0.09)
EcoliK12	20.4(0.6)	2.2(0.06)	2.41(0.09)
4 cores
Ecoli_core	19.6(0.6)	0.2(0.005)	0.32(0.01)
P_putida	19.4(1)	0.5(0.02)	0.61(0.01)
EcoliK12	20(0.8)	1.3(0.04)	1.64(0.08)
8 cores
Ecoli_core	19.4(0.5)	0.2(0.03)	0.35(0.05)
P_putida	19.6(0.7)	0.4(0.04)	0.53(0.009)
EcoliK12	20(0.49)	0.9(0.01)	1.22(0.08)
16 cores
Ecoli_core	20.2(0.4)	0.2(0.008)	0.41(0.05)
P_putida	19.5(0.4)	0.4(0.04)	0.51(0.03)
EcoliK12	22(0.7)	0.7(0.01)	0.87(0.03)
32 cores
Ecoli_core	22.2(0.4)	0.3(0.008)	0.6(0.12)
P_putida	21.5(0.6)	0.4(0.01)	0.53(0.004)
EcoliK12	21.5(0.6)	0.6(0.03)	0.78(0.04)