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Table 2 Computational statistics of ssGTABLUP and ssSNPBLUP using the full and reduced datasets

From: Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates

Computational statistic

Original ssGTABLUP

Component-wise ssGTABLUP

ssSNPBLUP

Full

Reduced

Full

Reduced

Full

Reduced

Ta matrix (or its components)

1004

832

1000

829

–

–

 RAM

31.0

23.6

22.3

18.1

–

–

 aTime (h)

Neq

372

366

372

366

372

367

Number of PCG iterations

488

595

478

584

828

872

\({\lambda }_{min}\)(10–5)

4.77

3.13

4.98

3.24

3.42

2.75

\({\lambda }_{max}\)

2.98

2.98

2.98

2.98

3.59

3.34

RAM2 (GB)

1015

845

102

95

86

79

Time/iteration (sec)

172.4

143.4

64.9

51.2

65.4

52.7

bTime (h)

26.4

25.9

9.9

9.5

16.4

13.7

Total time (h)

62.2

52.8

37.0

32.5

21.9

18.8

  1. Neq = number of equations in millions; RAM = software peak random access memory (RAM) defined as the peak resident set size (VmHWM) obtained from the Linux/proc virtual file system; \({\lambda }_{min}\) = smallest effective eigenvalue of the preconditioned coefficient matrix; \({\lambda }_{max}\) = largest effective eigenvalue of the preconditioned coefficient matrix; Time/iteration = Average wall clock time per PCG iteration (expressed in seconds); Total time = wall clock time of the MiXBLUP software expressed in hours
  2. aTime = wall clock time of the program calc_grm expressed in hours
  3. bTime = wall clock time of the solver expressed in hours