A robust parallel programming model for dynamic non-uniform scientific computations
SR Kohn, SB Baden - Proceedings of IEEE Scalable High …, 1994 - ieeexplore.ieee.org
SR Kohn, SB Baden
Proceedings of IEEE Scalable High Performance Computing Conference, 1994•ieeexplore.ieee.orgLPARX provides efficient run-time support for dynamic, non-uniform scientific calculations
running on MIMD distributed memory architectures. It extends HPF's data decomposition
model to provide support for dynamic, block irregular data structures. LPARX represents
data decompositions as first-class objects and expresses data dependencies in a manner
which is logically independent of data decomposition and problem dimension. LPARX
applications are portable across a diversity of MIMD machines. We have implemented a …
running on MIMD distributed memory architectures. It extends HPF's data decomposition
model to provide support for dynamic, block irregular data structures. LPARX represents
data decompositions as first-class objects and expresses data dependencies in a manner
which is logically independent of data decomposition and problem dimension. LPARX
applications are portable across a diversity of MIMD machines. We have implemented a …
LPARX provides efficient run-time support for dynamic, non-uniform scientific calculations running on MIMD distributed memory architectures. It extends HPF's data decomposition model to provide support for dynamic, block irregular data structures. LPARX represents data decompositions as first-class objects and expresses data dependencies in a manner which is logically independent of data decomposition and problem dimension. LPARX applications are portable across a diversity of MIMD machines. We have implemented a number of applications in LPARX-including a 3D particle calculation and 2D and 3D adaptive multigrid solvers-which could not have been efficiently implemented in HPF.< >
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