Thanks all for the tips. So if I'm summarizing right:
* Hama and Spark are designed for distributed computing. Given that
our need is for small matrices (usually no more than 5x5),
distributed computing would probably be too much. However I keep
Hama and Spark in mind for the SIS "Grid Coverage" (or Raster)
processing part, to come later.
* JBlas seems to be JNI wrappers around LAPACK and BLAS Fortran
libraries. For small matrix, the JNI cost may be larger than the
benefit. I will keep JBlas in mind for some computations that
require large matrix, but those computations are not expected to
occur in the "referencing" part of SIS.
* Other libraries under compatible license include Apache Commons Math
[1] and JAMA [2].
Given that Apache Commons is a large library (the JAR file is 1.6 Mb)
while JAMA is very small and focused on Matrix only (a 36.5 kb file), I
would be tempted to propose JAMA. Is there any though on that?
Martin
[1] http://commons.apache.org/proper/commonsmath/
[2] http://math.nist.gov/javanumerics/jama/
