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What is Loop Unrolling

Chapter 6

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Dataflow technique for implementing controlflow loops.

Published in Chapter:

Implementation Details of Neural Networks Using Dataflow

Source Title: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

DOI: 10.4018/978-1-7998-8350-0.ch006

Abstract

This chapter presents dataflow paradigm in general and loop unrolling and data pipelines as key points for acceleration and discusses implementation details of multilayer perceptron neural networks. The iterative nature of the algorithm makes it suitable for dataflow implementation using matrix multiplication as a basic operation. Also, it presents major differences in code execution between conventional controlflow paradigm and dataflow paradigm. It is shown how part of an algorithm (feed-forward phase) can be migrated to the accelerator while the rest remains the same.

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