<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Exploitation of potential parallelism is obviously a major source of code optimization. This chapter therefore focusses on DSP-specific techniques, which aim at parallelization of generated vertical machine code. In the first part, we consider the area of memory address generation. Address generation for DSPs is strongly related to instruction-level parallelism, because taking into account the DSP-specific address generation hardware permits to maximize potential parallelism. In the second part of this chapter, we focus on exploitation of potential parallelism by code compaction. Code compaction identifies potential parallelism, accordingly arranges RTs in time, and generates executable machine code. We analyze the special demands on compaction techniques for DSPs, and we present a novel exact solution to the problem of local code compaction.
citations 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). | 0 | |
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). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |