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https://doi.org/10.1109/dac.19...
Article . 2005 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.17877/de...
Conference object . 1998
Data sources: Datacite
DBLP
Conference object . 2018
Data sources: DBLP
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Code Generation For Core Processors

Authors: Marwedel, Peter;

Code Generation For Core Processors

Abstract

This tutorial responds to the rapidly increasing use of cores in general and of processor cores in particular for implementing systems-on-a-chip. In the first part of this text, we will provide a brief introduction to various cores. Applications can be found in most segments of the embedded systems market. These applications demand for extreme efficiency, and in particular for efficient processor architectures and for efficient embedded software. In the second part of this text, we will show that current compilers do not provide the required efficiency and we will give an overview over new compiler optimization techniques, which aim at making assembly language programming for embedded software obsolete. These new techniques take advantage of the special characteristics of embedded software and embedded architectures. Due to efficiency considerations, processor architectures optimized for application domains or even for particular applications are of interest. This results in a large number of architectures and instruction sets, leading to the requirement for retargeting compilers to those numerous architectures. In the final section of the tutorial, we will present techniques for retargeting compilers to new architectures easily. We will show, how compilers can be generated from descriptions of processors. One of the approaches closes the gap which so far existed between electronic CAD and compiler generation.

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Germany
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info:eu-repo/classification/ddc/004, 004

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
Green