In the paper the time costs of several parallel computation structures are analyzed. These analyses are based on the assumptions that the processes communicate implicitly via the shared memory and that a locking mechanism is imposed on the access to shared variables. In previous work, an approach to estimating a set of special parallel computation structures has been developed. In this paper, we expand this approach and propose a new technique for covering more general parallel computation structures
AbstractWe study the effect of limited communication throughput on parallel computation in a setting...
The goal of this work was to examine existing shared memory parallel programming models, figure out ...
Data parallel programming provides a simple and powerful framework for designing parallel algorithms...
AbstractIn the paper the time costs of several parallel computation structures are analyzed. These a...
AbstractIn this paper, the execution time cost of a parallel computation in a shared memory environm...
Parallel computer architectures utilize a set of computational elements (CE) to achieve performance ...
Previous work on the analysis of execution time of parallel algorithms has either largely ignored co...
In this paper, we present a cost model taking into account properties of present time machines. This...
The overheads in a parallel system that limit its scalability need to be identified and separated in...
We study the effect of limited communication throughput on parallel computation in a setting where t...
We must consider communication Algorithms have two kinds of costs: computation and communication mov...
We address the gap between structured parallel programming and parallel architectures by formalizing...
154 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.In this thesis we study commu...
190 pages ISSN 1238-6944, ISBN 951-708-693-8 Keywords: parallel computing, shared memory, modeling...
Institute for Computing Systems ArchitectureProgramming parallel computers remains a difficult task....
AbstractWe study the effect of limited communication throughput on parallel computation in a setting...
The goal of this work was to examine existing shared memory parallel programming models, figure out ...
Data parallel programming provides a simple and powerful framework for designing parallel algorithms...
AbstractIn the paper the time costs of several parallel computation structures are analyzed. These a...
AbstractIn this paper, the execution time cost of a parallel computation in a shared memory environm...
Parallel computer architectures utilize a set of computational elements (CE) to achieve performance ...
Previous work on the analysis of execution time of parallel algorithms has either largely ignored co...
In this paper, we present a cost model taking into account properties of present time machines. This...
The overheads in a parallel system that limit its scalability need to be identified and separated in...
We study the effect of limited communication throughput on parallel computation in a setting where t...
We must consider communication Algorithms have two kinds of costs: computation and communication mov...
We address the gap between structured parallel programming and parallel architectures by formalizing...
154 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.In this thesis we study commu...
190 pages ISSN 1238-6944, ISBN 951-708-693-8 Keywords: parallel computing, shared memory, modeling...
Institute for Computing Systems ArchitectureProgramming parallel computers remains a difficult task....
AbstractWe study the effect of limited communication throughput on parallel computation in a setting...
The goal of this work was to examine existing shared memory parallel programming models, figure out ...
Data parallel programming provides a simple and powerful framework for designing parallel algorithms...