minimized. This approach has been implemented as part of a compiler called Paradigm, that accepts Fortran 77 programs, and specifies the partitioning scheme to be used for each array in the program. We have obtained results on some programs taken from the Linpack and Eispack libraries, and the Perfect Benchmarks. These results are quite promising, and demonstrate the feasibility of automatic data partitioning for a significant class of scientific application programs with regular computations
Abstract. Minimizing data communication over processors is the key to compile programs for dis-tribu...
Loosely-coupled MIMD architectures do not suffer from memory contention; hence large numbers of proc...
on reverse if oecessary and identify by block number) FIELD GROUP SUB-GROUP compilers, distributed m...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1992.Distributed-memory parallel c...
This paper proposes a compiler strategy for mapping FORTRAN programs onto distributed memory compute...
Distributed-memory parallel computers are increasingly being used to provide high levels of performa...
this report we have described how two methods for automatically determining convenient data distribu...
Parallel architectures with physically distributed memory providing computing cycles and large amoun...
The design and the first results of a prototype multiprocessor featuring the automatic partitioning ...
grantor: University of TorontoScalable shared memory multiprocessors are becoming increasi...
Parallel computing hardware is affordable and accessible, yet parallel programming is not as widespr...
εm is a high-level programming system which puts parallelism within the reach of scientists who are ...
This paper addresses the problem of partitioning data for distributed memory machines (multicomputer...
An approach to programming distributed memory-parallel machines that has recently become popular is ...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Resea...
Abstract. Minimizing data communication over processors is the key to compile programs for dis-tribu...
Loosely-coupled MIMD architectures do not suffer from memory contention; hence large numbers of proc...
on reverse if oecessary and identify by block number) FIELD GROUP SUB-GROUP compilers, distributed m...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1992.Distributed-memory parallel c...
This paper proposes a compiler strategy for mapping FORTRAN programs onto distributed memory compute...
Distributed-memory parallel computers are increasingly being used to provide high levels of performa...
this report we have described how two methods for automatically determining convenient data distribu...
Parallel architectures with physically distributed memory providing computing cycles and large amoun...
The design and the first results of a prototype multiprocessor featuring the automatic partitioning ...
grantor: University of TorontoScalable shared memory multiprocessors are becoming increasi...
Parallel computing hardware is affordable and accessible, yet parallel programming is not as widespr...
εm is a high-level programming system which puts parallelism within the reach of scientists who are ...
This paper addresses the problem of partitioning data for distributed memory machines (multicomputer...
An approach to programming distributed memory-parallel machines that has recently become popular is ...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Resea...
Abstract. Minimizing data communication over processors is the key to compile programs for dis-tribu...
Loosely-coupled MIMD architectures do not suffer from memory contention; hence large numbers of proc...
on reverse if oecessary and identify by block number) FIELD GROUP SUB-GROUP compilers, distributed m...