Abstract
Emulating massively parallel computer architectures represents a very important tool for the parallel programmers. It allows them to implement and validate their algorithms. Due to the high cost of the massively parallel real machines, they remain unavailable and not popular in the parallel computing community. The goal of this paper is to present an elaborated emulator of a 2-D massively parallel re-configurable mesh computer of size n x n processing elements (PE). Basing on the object modeling method, we develop a hard kernel of a parallel virtual machine in which we translate all the physical properties of its different components. A parallel programming language and its compiler are also devel-oped to edit, compile and run programs. The developed emulator is a multi platform system. It can be installed in any sequential computer whatever may be its operating system and its processing unit technology (CPU). The size n x n of this virtual re-configurable mesh is not limited; it depends just on the performance of the sequential machine supporting the emulator.
Highlights
In the data analysis and signal processing domain, the analysis tools, the computation methods and their technological computational models, have known a very high level of progress
Basing on the object modeling method, we develop a hard kernel of a parallel virtual machine in which we translate all the physical properties of its different components
Flags: As any standard processor, we introduce in the processing elements (PE) model a special flag register, where each of its flag bits will indicate the PE state related to any performed instruction
Summary
In the data analysis and signal processing domain, the analysis tools, the computation methods and their technological computational models, have known a very high level of progress. This progress has oriented the scientists toward new computation strategies based on parallel approaches. The use of the parallel approaches implies important data exchange between computational units. This generates new problems of data exchange and communications. It is important to examine how the data in query are organized This examination leads to several parallel algorithms and several corresponding computational architectures. The optimized software realized for some cases have quickly demonstrated the limits of this model
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