bigGP is a package for distributed Gaussian process calculations, with a specific implementation of distributed kriging via maximum likelihood estimation.
More details are available in:
Paciorek, C.J., B. Lipshitz, W. Zhuo, Prabhat, C.G. Kaufman, and R.C. Thomas. 2013. Parallelizing Gaussian Process Calculations in R. arXiv:1305.4886. http://arxiv.org/abs/1305.4886.
bigGP requires Rmpi and MPI. See INSTALL for more details on non-standard installations.
bigGP makes use of the BLAS. By default it links against the same BLAS as that used by the R installed on your system. Note that computational efficiency relies heavily on using a fast, threaded BLAS, so if such a BLAS (e.g., openBLAS, ACML, or MKL) is not on your system, you should consider setting up R with an external BLAS and then installing this package.