From shared to distributed memory: converting non-numeric parallel algorithms to Message Passing Interface (MPI)
Clay P. Breshears
Abstract
Clay P. Breshears
Abstract
The porting of codes using the Message Passing Interface (MPI) between distributed memory platforms becomes as simple as moving the program to the target machine and recompiling. For codes written under the shared memory paradigm to be able to take advantage of this easy porting, they must first be translated to execute under a distributed memory environment. The author focuses on the translation of non-numeric parallel algorithms from shared memory to distributed memory machines. Specifically, he presents techniques to determine where calls to MPI message passing routines must be inserted to preserve data access patterns inherent in the original shared memory code.
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The porting of codes using the Message Passing Interface (MPI) between distributed memory platforms becomes as simple as moving the program to the target machine and recompiling. For codes written under the shared memory paradigm to be able to take advantage of this easy porting, they must first be translated to execute under a distributed memory environment. The author focuses on the translation of non-numeric parallel algorithms from shared memory to distributed memory machines. Specifically, he presents techniques to determine where calls to MPI message passing routines must be inserted to preserve data access patterns inherent in the original shared memory code.
Key concepts: Computer science, Porting, Message passing, Shared memory, Message Passing Interface, Distributed memory, Parallel computing, Distributed shared memory