Detail výsledku

Instruction mapping techniques for processors with very long instruction word architectures

MEGO, R.; FRÝZA, T. Instruction mapping techniques for processors with very long instruction word architectures. Journal of Electrical Engineering-Elektrotechnicky Casopis, 2022, vol. 73, no. 6, p. 387-395. ISSN: 1339-309X.
Typ
článek v časopise
Jazyk
anglicky
Autoři
Mego Roman, Ing., Ph.D., UREL (FEKT)
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEKT)
Abstrakt

This paper presents an instruction mapping technique for generating a low-level assembly code for digital signal processing algorithms. This technique helps developers to implement retargetable kernel functions with the performance benefits of the low-level assembly languages. The approach is aimed at exceptionally long instruction word (VLIW) architectures, which benefits the most from the proposed method. Mapped algorithms are described by the signal-flow graphs, which are used to find possible parallel operations. The algorithm is converted into low-level code and mapped to the target architecture. This process also introduces the optimization of instruction mapping priority, which leads to the more effective code. The technique was verified on selected kernels, compared to the common programming methods, and proved that it is suitable for VLIW architectures and for portability to other systems.

Klíčová slova

digital signal processors, parallel architectures, low-level code, instruction mapping, signal-flow graph

URL
Rok
2022
Strany
387–395
Časopis
Journal of Electrical Engineering-Elektrotechnicky Casopis, roč. 73, č. 6, ISSN 1339-309X
Vydavatel
FEI STU Bratislava
Místo
Bratislava
DOI
UT WoS
000903573600003
EID Scopus
BibTeX
@article{BUT180540,
  author="Roman {Mego} and Tomáš {Frýza}",
  title="Instruction mapping techniques for processors with very long instruction word architectures",
  journal="Journal of Electrical Engineering-Elektrotechnicky Casopis",
  year="2022",
  volume="73",
  number="6",
  pages="387--395",
  doi="10.2478/jee-2022-0053",
  issn="1335-3632",
  url="http://iris.elf.stuba.sk/JEEEC/data/pdf/6_122-03.pdf"
}
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