Open Access

Multiple Word-Length High-Level Synthesis

  • Philippe Coussy1Email author,
  • Ghizlane Lhairech-Lebreton1 and
  • Dominique Heller1
EURASIP Journal on Embedded Systems20082008:916867

DOI: 10.1155/2008/916867

Received: 29 February 2008

Accepted: 21 July 2008

Published: 29 July 2008


Digital signal processing (DSP) applications are nowadays widely used and their complexity is ever growing. The design of dedicated hardware accelerators is thus still needed in system-on-chip and embedded systems. Realistic hardware implementation requires first to convert the floating-point data of the initial specification into arbitrary length data (finite-precision) while keeping an acceptable computation accuracy. Next, an optimized hardware architecture has to be designed. Considering uniform bit-width specification allows to use traditional automated design flow. However, it leads to oversized design. On the other hand, considering non uniform bit-width specification allows to get a smaller circuit but requires complex design tasks. In this paper, we propose an approach that inputs a C/C++ specification. The design flow, based on high-level synthesis (HLS) techniques, automatically generates a potentially pipeline RTL architecture described in VHDL. Both bitaccurate integer and fixed-point data types can be used in the input specification. The generated architecture uses components (operator, register, etc.) that have different widths. The design constraints are the clock period and the throughput of the application. The proposed approach considers data word-length information in all the synthesis steps by using dedicated algorithms. We show in this paper the effectiveness of the proposed approach through several design experiments in the DSP domain.

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Authors’ Affiliations

Lab-STICC (CNRS), European University of Brittany, The Université de Bretagne-Sud, Centre de Recherche


© Philippe Coussy et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.