15 May 2012        =========================================
                   MILP cases that are slightly pathological
                   =========================================
                      H. Mittelmann (mittelmann@asu.edu)

CPLEX-12.4.0.0: CPLEX
GUROBI-5.0.0: GUROBI
ug[SCIP/spx]: FSCIP-Parallel development version of SCIP
CBC-2.7.5: CBC
XPRESS-7.3.1: XPRESS
SCIP-2.1.1: serial SCIP with CPLEX

These codes were run with the MIPLIB2010 scripts in default mode on an Intel Xeon X5680 (32GB, Linux, 64 bits, 2*6 cores) on problems from here. Times given are elapsed CPU seconds. Time limit 3 hrs. Available memory 24GB. This benchmark is not giving a representative impression of the relative performance of the codes.

Table for 12 threads, Result files per solver, Log files per solver

Scaled geometric mean of runtimes and problems solved (24 total)
--------------------------------------------------
   CBC    CPLEX    FSCIP   GUROBI   SCIP   XPRESS 
--------------------------------------------------
    11       1      5.24     1.37    7.56    1.84
     4      17       13       21      14      15
--------------------------------------------------


                  problem statistics
=================================================
problem    constraints    variables    nonzeros 
-------------------------------------------------
bc               1913         1751      276842
neos-849702      1041         1737       19308
ns1943024         143          870        3840
ns1952667          41        13264      335643
ns1954122      640802       640800     2560000
ns2017839       54510        55224      317840
ns2034125       14401        12000     2549071
ns2070961        7965         3210       23072
ns2071214        6250         2720       21474
ns2081729        1190          661        5680
ns2082847          85          850        4459
ns2164569       12747        27793       63940
ns2267839         395         3265       19324
ns2319318       67760        15800      260284
ns2326618        6306         4170       20728
ns2350781         609         2702       23703
ns2369235        2190          906        9879
ns2319914       48529         9651      276098
ns2441809       15125        15416      736865
ns2394796        1473          948       23268
ns2382816        1791          948        9978
ns2494475        8242         7281       25168
ns29903        262037        99066      588074
ns43586         15124         5724       61455
============================================================