Problem Based Benchmark Suite (2020)

randomSeq Data Generator:

randomSeq -t {int,double} [-r <m>] <n> <filename>

This generator creates a sequence of n values uniformly at random (psuedorandom) in the sequence file format. It supports both double-precision floating-point values and integers. The integer version generates integers in the range [0:m) where m is specified with the optional argument [-r <m>] (m = n by default). The double precision version generates reals uniformly at random in the range [0,1) (within the precision).

last modified 17:46, 20 Sep 2020

This project has been funded by the following sources:
Intel Labs Academic Research Office for the Parallel Algorithms for Non-Numeric Computing Program,
National Science Foundation, and
IBM Research.