Runtime dependency analysis for loop pipelining in high-level synthesis
Research on High-Level Synthesis has mainly focused on applications with statically determinable characteristics and current tools often perform poorly in presence of data-dependent memory accesses. The reason is that they rely on conservative static scheduling strategies, which lead to inefficient...
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Published in | 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC) pp. 1 - 10 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
New York, NY, USA
ACM
29.05.2013
IEEE |
Series | ACM Conferences |
Subjects | |
Online Access | Get full text |
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Summary: | Research on High-Level Synthesis has mainly focused on applications with statically determinable characteristics and current tools often perform poorly in presence of data-dependent memory accesses. The reason is that they rely on conservative static scheduling strategies, which lead to inefficient implementations. In this work, we propose to address this issue by leveraging well-known techniques used in superscalar processors to perform runtime memory disambiguation. Our approach, implemented as a source-to-source transformation at the C level, demonstrates significant performance improvements for a moderate increase in area while retaining portability among HLS tools. |
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ISBN: | 1450320716 9781450320719 |
ISSN: | 0738-100X |
DOI: | 10.1145/2463209.2488796 |