Reconfigurable Parallel Data Flow Architecture

TL;DR

This paper introduces a reconfigurable parallel data flow architecture leveraging multi-agent paradigms to enhance flexibility, efficiency, and expandability in data processing systems, offering a versatile alternative to traditional approaches.

Contribution

It proposes a novel reconfigurable architecture based on multi-agent concepts, enabling diverse data flow processing models within hardware systems.

Findings

Increased system flexibility and expandability.

Effective implementation of multiple data flow models.

Potential for improved efficiency in data processing.

Abstract

This paper presents a reconfigurable parallel data flow architecture. This architecture uses the concepts of multi-agent paradigm in reconfigurable hardware systems. The utilization of this new paradigm has the potential to greatly increase the flexibility, efficiency, expandability of data flow systems and to provide an attractive alternative to the current set of disjoint approaches that are currently applied to this problem domain. The ability of methodology to implement data flow type processing with different models is presented in this paper.