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TUTCRIS

Low power design methodology for signal processing systems using lightweight dataflow techniques

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoDASIP 2016 - Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing
KustantajaIEEE COMPUTER SOCIETY PRESS
Sivut82-89
Sivumäärä8
ISBN (elektroninen)9791092279153
DOI - pysyväislinkit
TilaJulkaistu - 13 helmikuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaCONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING -
Kesto: 1 tammikuuta 1900 → …

Conference

ConferenceCONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING
Ajanjakso1/01/00 → …

Tiivistelmä

Dataflow modeling techniques facilitate many aspects of design exploration and optimization for signal processing systems, such as efficient scheduling, memory management, and task synchronization. The lightweight dataflow (LWDF) programming methodology provides an abstract programming model that supports dataflow-based design and implementation of signal processing hardware and software components and systems. Previous work on LWDF techniques has emphasized their application to DSP software implementation. In this paper, we present new extensions of the LWDF methodology for effective integration with hardware description languages (HDLs), and we apply these extensions to develop efficient methods for low power DSP hardware implementation. Through a case study of a deep neural network application for vehicle classification, we demonstrate our proposed LWDF-based hardware design methodology, and its effectiveness in low power implementation of complex signal processing systems.