The development of a new graph theoretic model for describing the relation between a decomposed algorithm and its execution in a data flow environment is presented. Called ATAMM, the model consists of a set of Petri net marked graphs useful for representing decision-free algorithms having large-grained, computationally complex primitive operations. Performance time measures which determine computing speed and throughput capacity are defined, and the ATAMM model is used to develop lower bounds for these times. A concurrent processing operating strategy for achieving optimum time performance is presented and illustrated by example
It is shown that the behavior of Petri nets with exponentially distributed firing times can be repre...
Improved multiprocessor performance can be attained by architectures that combine data flow and cont...
technical reportThe inherently asynchronous nature of the data flow computation model allows the exp...
Diagnostics software for analyzing Algorithm to Architecture Mapping Model (ATAMM) based concurrent ...
Algorithm To Architecture Mapping Model (ATAMM) is a new marked graph model from which the rules for...
In this paper, we describe a model for determining the optimal data and computation decomposition fo...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
A graph-theoretic design process and software tool is presented for selecting a multiprocessing sche...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
The algorithm to architecture mapping model (ATAAM) is a Petri net based model which provides a stra...
Correctly estimating the speed-up of a parallel embedded application is crucial to efficiently compa...
A model for the execution time of parallel algorithms on processor arrays is described. The model is...
The programming complexity of increasingly parallel processors calls for new tools to assist program...
The possibility of using parallel processing to accelerate the simulation of Timed Petri Nets (TPN's...
This paper discusses automatic mapping methods for concurrent tasks to processors applying graph ana...
It is shown that the behavior of Petri nets with exponentially distributed firing times can be repre...
Improved multiprocessor performance can be attained by architectures that combine data flow and cont...
technical reportThe inherently asynchronous nature of the data flow computation model allows the exp...
Diagnostics software for analyzing Algorithm to Architecture Mapping Model (ATAMM) based concurrent ...
Algorithm To Architecture Mapping Model (ATAMM) is a new marked graph model from which the rules for...
In this paper, we describe a model for determining the optimal data and computation decomposition fo...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
A graph-theoretic design process and software tool is presented for selecting a multiprocessing sche...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
The algorithm to architecture mapping model (ATAAM) is a Petri net based model which provides a stra...
Correctly estimating the speed-up of a parallel embedded application is crucial to efficiently compa...
A model for the execution time of parallel algorithms on processor arrays is described. The model is...
The programming complexity of increasingly parallel processors calls for new tools to assist program...
The possibility of using parallel processing to accelerate the simulation of Timed Petri Nets (TPN's...
This paper discusses automatic mapping methods for concurrent tasks to processors applying graph ana...
It is shown that the behavior of Petri nets with exponentially distributed firing times can be repre...
Improved multiprocessor performance can be attained by architectures that combine data flow and cont...
technical reportThe inherently asynchronous nature of the data flow computation model allows the exp...