KeLP is designed and maintained by a group at the University of California at San Diego. Associate Professor Scott B. Baden of Computer Science and Engineering is the director of the KeLP Project KeLP was part of the dissertation topic of Stephen J. Fink (Ph.D. 1998) and portions of a prototype of KeLP were developed by Scott R. Kohn (Ph.D. 1995). KeLP is supported by the NSF, the University of California, San Diego, and the National Partnership for Advanced Computational Infrastructure (NPACI). KeLP is part of NPACI's Kommon Adaptive Runtime Environment (KARTE) effort. KeLP (Kernel Lattice Parallelism) is an infrastructure/interface to FORTRAN 77 or C numeric kernels using FORTRAN array ordering. It is usually used for structured block-irregular grid computational applications. KeLP uses coarse-grain data parallelism for its parallel model and should be run on message-passing parallel computers. KeLP is targeted towards adaptive mesh refinement applications and single-grid calculations requiring uniform or non-uniform decompositions across machine processors. Applications manipulate data decompositions as language objects through region calculus operations. WWW: http://www-cse.ucsd.edu/groups/hpcl/scg/kelp/index.html - Keichii