Introduction We attempt to model parallel computations that are composed of one or more irregularly coupled regular meshes (ICRMs). The model will be used to determine whether a distribution of an ICRM problem is a good one. Further, it will be used to evaluate and improve algorithms for finding distributions of ICRM problems. 2 Assumptions Assumptions for the model are as follows. First, the simulation problem in the computation must be static. The amount of computation is the same for each element of each DECOMPOSITION. The computation does not have to be uniform across all DECOMPOSITIONs, just internally for each individual DECOMPOSITION. We also assume that all of the various operations can be grouped into at most three groups with a...
We present a method for partitioning meshes that allows a simple and efficient parallel implementati...
We present a general data parallel formulation for highly irregular problems in High Performance For...
In the realm of sequential computing the random access machine has successufully provided an underly...
Regular meshes are frequently used for modeling physical phenomena on both serial and parallel compu...
Problem topology is the key to efficient parallelization support for partially regular applications....
Dans de nombreux domaines scientifiques, la taille et la complexité des simulations numériques sont s...
The present paper provides a comprehensive study of the following problem. Consider algorithms whic...
There are numerous scientific applications which require large and complex meshes. Given the explos...
This dissertation presents optimization techniques for efficient data parallel formulation/implement...
Parallelizing irregular, dynamic data structures can be a very difficult problem. An efficient solut...
Irregular problems arise in many areas of computational physics and other scientific applications. A...
Multi-grained parallel computers can be very eective on computationally intensive problems that have...
Simulation of turbulent flows in complex geometries is nowadays usually performed by application of ...
Our work deals with simulation of distributed memory parallel computers. The tool we realized allows...
New mapping algorithms for domain oriented data-parallel computations, where the workload is distrib...
We present a method for partitioning meshes that allows a simple and efficient parallel implementati...
We present a general data parallel formulation for highly irregular problems in High Performance For...
In the realm of sequential computing the random access machine has successufully provided an underly...
Regular meshes are frequently used for modeling physical phenomena on both serial and parallel compu...
Problem topology is the key to efficient parallelization support for partially regular applications....
Dans de nombreux domaines scientifiques, la taille et la complexité des simulations numériques sont s...
The present paper provides a comprehensive study of the following problem. Consider algorithms whic...
There are numerous scientific applications which require large and complex meshes. Given the explos...
This dissertation presents optimization techniques for efficient data parallel formulation/implement...
Parallelizing irregular, dynamic data structures can be a very difficult problem. An efficient solut...
Irregular problems arise in many areas of computational physics and other scientific applications. A...
Multi-grained parallel computers can be very eective on computationally intensive problems that have...
Simulation of turbulent flows in complex geometries is nowadays usually performed by application of ...
Our work deals with simulation of distributed memory parallel computers. The tool we realized allows...
New mapping algorithms for domain oriented data-parallel computations, where the workload is distrib...
We present a method for partitioning meshes that allows a simple and efficient parallel implementati...
We present a general data parallel formulation for highly irregular problems in High Performance For...
In the realm of sequential computing the random access machine has successufully provided an underly...