Result Details

Advanced Mapping Techniques for Digital Signal Processors

FRÝZA, T.; MEGO, R. Advanced Mapping Techniques for Digital Signal Processors. In 16th IEEE International Symposium on Signal Processing and Information Technology. Cyprus: IEEE, 2016. p. 1-4. ISBN: 978-1-5090-2902-0.
Type
conference paper
Language
English
Authors
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEEC)
Mego Roman, Ing., Ph.D., REL-SIX (FEEC), UREL (FEEC)
Abstract

This paper is focused on the hardware modeling and mapping the algorithms on the many-, multi -core platforms, such as TMS320C6678 digital signal processor (DSP) with the very long instruction word (VLIW) architecture. The main methods to develop an application for the target processor combine high- and/or low-level programming languages. Although the hardware capabilities of the nowadays processors and compilers are persistently increasing, the programmers common practice is to hand-optimize critical parts of the digital signal processing algorithms in assembly code. In the paper the benefit of the auxiliary tool for generating of semi-optimal codes for the DSP is presented. The functions for basic vector operations (addition, multiplication, and dot product) were proposed by this tool and the computing performances were compared to the corresponding functions from the TMS320C6000 DSP Library (DSPLIB). Comparing the functions' duration, the proposed routines achieve the average acceleration of 24 CPU cycles.

Keywords

VLIW;DSP;algorithm mapping;manycore;multicore;TMS320C6678;vector operations

Published
2016
Pages
1–4
Proceedings
16th IEEE International Symposium on Signal Processing and Information Technology
Conference
The 16th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2016
ISBN
978-1-5090-2902-0
Publisher
IEEE
Place
Cyprus
DOI
10.1109/ICCES.2018.8639186
UT WoS
000406122500039
EID Scopus
2-s2.0-85017657316
BibTeX 
@inproceedings{BUT129540,
  author="Tomáš {Frýza} and Roman {Mego}",
  title="Advanced Mapping Techniques for Digital Signal Processors",
  booktitle="16th IEEE International Symposium on Signal Processing and Information Technology",
  year="2016",
  pages="1--4",
  publisher="IEEE",
  address="Cyprus",
  doi="10.1109/ICCES.2018.8639186",
  isbn="978-1-5090-2902-0"
}
Departments
Department of Radio Electronics (UREL)
division-REL-SIX (REL-SIX)
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