Abstract: The present invention provides for a method for computer program code size partitioning for multiple memory multi-processor systems. At least one system parameter of a computer system comprising one or more disparate processing nodes is identified. Computer program code comprising a program to be run on the computer system is received. A program representation based on received computer program code is generated. At least one single-entry-single-exit (SESE) region is identified based on the whole program representation. At least one SESE region of less than a certain size (store-size-specific) is identified based on identified SESE regions and the at least one system parameter. Each store-size-specific SESE region is grouped into a node-specific subroutine. The non node-specific parts of the computer program code are modified based on the partitioning into node-specific subroutines. The modified computer program code including each node-specific subroutine is compiled based on a specified node characteristic.

Abstract: The present invention provides for a method for computer program functional partitioning for heterogeneous multi-processing systems. At least one system parameter of a computer system comprising one or more disparate processing nodes is identified. Computer program code comprising a program to be run on the computer system is received. A whole program representation is generated based on received computer program code. At least one single-entry-single-exit (SESE) region is identified based on the whole program representation. At least one node-specific SESE region is identified based on identified SESE regions and the at least one system parameter. Each node-specific SESE region is grouped into a node-specific subroutine. Each node-specific subroutine is compiled based on a specified node characteristic. The computer program code is modified based on the node-specific subroutines and the modified computer program code is compiled.

Abstract: In a multiprocessor system it is generally assumed that peak or near peak performance will be achieved by splitting computation across all the nodes of the system. There exists a broad spectrum of techniques for performing this splitting or parallelization, ranging from careful handcrafting by an expert programmer at the one end, to automatic parallelization by a sophisticated compiler at the other. This latter approach is becoming more prevalent as the automatic parallelization techniques mature. In a multiprocessor system comprising multiple heterogeneous processing elements these techniques are not readily applicable, and the programming complexity again becomes a very significant factor. The present invention provides for a method for computer program code parallelization and partitioning for such a heterogeneous multi-processor system. A Single Source file, targeting a generic multiprocessing environment is received. Parallelization analysis techniques are applied to the received single source file.