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
From: VFFVA: dynamic load balancing enables large-scale flux variability analysis
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) |