Boost.MPI was developed with support from Zurcher Kantonalbank. Daniel Egloff and Michael Gauckler contributed many ideas to Boost.MPI's design, particularly in the design of its abstractions for MPI data types and the novel skeleton/context mechanism for large data structures. Prabhanjan (Anju) Kambadur developed the predecessor to Boost.MPI that proved the usefulness of the Serialization library in an MPI setting and the performance benefits of specialization in a C++ abstraction layer for MPI. Jeremy Siek managed the formal review of Boost.MPI.