Computing resource management with fast sorting using vector instructions

A computerized method comprising:

• sampling, by a processor, a data set with a sampling vector set, the sampling vector set comprising at least one vector, each vector comprising a plurality of data elements of the data set;
• determining, using a vector instruction executed by the processor, a median value of the data elements in the sampling vector set;
• determining, using the processor, that multiple data elements in the sampling vector set have a same value as the median value or are already sorted;
• identifying that at least a portion of the data set is to be excluded from at least a portion of sorting operations;
• and
• sorting, using the processor, the data set using the median value as a pivot value, wherein the sorting excludes, from the at least a portion of sorting operations, the at least a portion of the data set identified as to be excluded.

One or more computer storage media devices having computer-executable instructions stored thereon, which, upon execution by a computer, cause the computer to perform operations comprising:

• sampling, by a processor, a data set with a sampling vector set, the sampling vector set comprising at least one vector, each vector comprising a plurality of data elements of the data set;
• determining, using a vector instruction executed by the processor, a median value of the data elements in the sampling vector set;
• determining, using the processor, that multiple data elements in the sampling vector set have a same value as the median value or are already sorted;
• identifying at least a portion of the data set to be excluded from at least a portion of sorting operations;
• and
• sorting, using the processor, the data set using the median value as a pivot value, wherein the sorting excludes, from the at least a portion of sorting operations, the at least a portion of the data set identified as to be excluded.