Skip to content

Advertisement

  • Research Article
  • Open Access

Stream Execution on Embedded Wide-Issue Clustered VLIW Architectures

EURASIP Journal on Embedded Systems20092008:516240

https://doi.org/10.1155/2008/516240

  • Received: 13 March 2008
  • Accepted: 9 November 2008
  • Published:

Abstract

Very long instruction word- (VLIW-) based processors have become widely adopted as a basic building block in modern System-on-Chip designs. Advances in clustered VLIW architectures have extended the scalability of the VLIW architecture paradigm to a large number of functional units and very-wide-issue widths. A central challenge with wide-issue clustered VLIW architecture is the availability of programming and automated compiler methods that can fully utilize the available computational resources. Existing compilation approaches for clustered-VLIW architectures are based on extensions of previously developed scheduling algorithms that primarily focus on the maximization of instruction-level parallelism (ILP). However, many applications do not have sufficient ILP to fully utilize a large number of functional units. On the other hand, many applications in digital communications and multimedia processing exhibit enormous amounts of data-level parallelism (DLP). For these applications, the streaming programming paradigm has been developed to explicitly expose coarse-grained data-level parallelism as well as the locality of communication between coarse-grained computation kernels. In this paper, we investigate the mapping of stream programs to wide-issue clustered VLIW processors. Our work enables designers to leverage their existing investments in VLIW-based architecture platforms to harness the advantages of the stream programming paradigm.

Keywords

  • Schedule Algorithm
  • Functional Unit
  • Basic Building Block
  • Computation Kernel
  • Programming Paradigm

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

(1)
Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA 92093-0407, USA

Copyright

Advertisement