Almost all applications containing indirect array addressing (irregular accesses) have a substantial number of direct array accesses (regular accesses) too. A conspicuous percentage of these direct array accesses usually require interprocessor communication for the applications to run on a distributed memory multicomputer. This study highlights how lack of a uniform representation and lack of a uniform scheme to generate communication structures and parallel code for regular and irregular accesses in a mixed regularirregular application prevent sophisticated optimizations. Furthermore, we also show that code generated for regular accesses using compile-time schemes are not always compatible to code generated for irregular accesses using run...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
Irregular applications pose challenges in optimizing communication, due to the difficulty of analyzi...
Abstract. In most cases of distributed memory computations, node programs are executed on processors...
Almost all applications containing indirect array address-ing (irregular accesses) have a substantia...
There are many important applications in computational fluid dynamics, circuit simulation and struct...
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming ...
This paper describes a number of optimizations that can be used to support the efficient execution o...
Data parallel languages like High Performance Fortran (HPF) are emerging as the architecture indepen...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming ...
this paper, we propose a communication cost reduction computes rule for irregular loop partitioning...
Parallelizing sparse irregular application on distributed memory systems poses serious scalability c...
In this paper, we propose a communication cost reduction computes rule for irregular loop partitioni...
Data parallel languages like High Performance Fortran (HPF) are emerging as the architecture indepen...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
Irregular applications pose challenges in optimizing communication, due to the difficulty of analyzi...
Abstract. In most cases of distributed memory computations, node programs are executed on processors...
Almost all applications containing indirect array address-ing (irregular accesses) have a substantia...
There are many important applications in computational fluid dynamics, circuit simulation and struct...
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming ...
This paper describes a number of optimizations that can be used to support the efficient execution o...
Data parallel languages like High Performance Fortran (HPF) are emerging as the architecture indepen...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming ...
this paper, we propose a communication cost reduction computes rule for irregular loop partitioning...
Parallelizing sparse irregular application on distributed memory systems poses serious scalability c...
In this paper, we propose a communication cost reduction computes rule for irregular loop partitioni...
Data parallel languages like High Performance Fortran (HPF) are emerging as the architecture indepen...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
Irregular applications pose challenges in optimizing communication, due to the difficulty of analyzi...
Abstract. In most cases of distributed memory computations, node programs are executed on processors...