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A key strategy used by the CRPC in its support of applications is the establishment of PCE-TECH, a project to develop parallel computing enabling technologies. PCE-TECH evaluates emerging parallel computing technologies (algorithms, software tools, libraries, and reference implementations) and provides documentation and assistance to potential users of these technologies in both academia and industry. Although the program puts a special emphasis on technologies developed within the CRPC, it is intended to incorporate the best available technologies from any source. PCE-TECH helps in selecting the right technology from the many technologies that are available.

Enabling technologies under consideration by PCE-TECH include:

  • Parallel Virtual Machine (PVM), a portable message-passing library for implementing computations on collections of heterogeneous processors.
  • A graphical user interface for generating PVM programs.
  • A prototype compiler for Fortran D, a language for machine-independent data-parallel programming, which generates code for the Intel iPSC/860, Delta, and Paragon.
  • An intelligent editor for Fortran D that can be used to help understand simple parallelization techniques on programs of modest size.
  • An interprocedural analysis engine that manages interprocedural analysis and compilation for Fortran D programs.
  • A version of the linear algebra library LAPACK especially developed for distributed-memory parallel computers.
  • Reference implementations for a variety of important parallel algorithms and applications, which include documentation on how to adapt the implementation to other problems.
  • Compilers for Fortran M, a language that supports task parallelism, targeted to the Intel Delta, IBM SP1, and networks of workstations.
  • A library of parallel programming schemas, with several sample applications developed by "filling in" schema.
  • The ADIFOR automatic differentiation tool for computing sensitivities of Fortran programs.
  • An interactive electronic textbook environment for parallel programming that allows users to explore a library of parallel schemas and associated libraries of parallel applications.
  • A library of concurrent object-oriented applications in CC++ that can evaluate scientific object-oriented methods and serve as a model for object-oriented applications.
  • A runtime layer that allows for interoperability of Fortran M, CC++, and Modular C.
  • A simulator that takes as input a parallel program and a target machine, and predicts performance of the application on the machine.