Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Computer
Fine-grained mobility in the Emerald system
ACM Transactions on Computer Systems (TOCS)
Process decomposition through locality of reference
PLDI '89 Proceedings of the ACM SIGPLAN 1989 Conference on Programming language design and implementation
Generating explicit communication from shared-memory program references
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
The DINO parallel programming language
Journal of Parallel and Distributed Computing
Compiling Fortran D for MIMD distributed-memory machines
Communications of the ACM
Interprocedural compilation of Fortran D for MIMD distributed-memory machines
Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Parallelization of FORTRAN code on distributed-memory parallel processors
ICS '90 Proceedings of the 4th international conference on Supercomputing
Translating Control Parallelism to Data Parallelism
Proceedings of the Fifth SIAM Conference on Parallel Processing for Scientific Computing
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The ability to represent, manipulate and optimize data movement between devices such as processors in a distributed memory machine, or between global memory and processors in a shared memory machine, is crucial in generating efficient code for such machines. In this paper we describe a methodology for representing and manipulating data movement explicitly in a compiler. Our methodology, called Explicit Data Placement (XDP), consists of extensions to the compiler's intermediate program language, as well as run-time structures that allow certain operations to be performed efficiently. We also illustrate one of the unique features of the XDP methodology: the ability to manipulate the run-time transfer of data ownership between processors.