A Case Study of Code Generator Generation for Embedded SIMD Computers
Can today's most advanced compiler generation systems handle specialized parallel processor architectures? To answer this question, a compiler targeting the embedded RVIP SIMD architecture was generated, using a combination of the DML-P front-end generator and the BEG back-end generator from th...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.55.9599 2023-05-15T16:01:52+02:00 A Case Study of Code Generator Generation for Embedded SIMD Computers Andreas Persson Johan Ringström Peter Fritzson The Pennsylvania State University CiteSeerX Archives application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.9599 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.9599 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://ftp.ida.liu.se/pub/labs/pelab/papers/pact96submitted.ps.gz text ftciteseerx 2016-01-08T11:30:50Z Can today's most advanced compiler generation systems handle specialized parallel processor architectures? To answer this question, a compiler targeting the embedded RVIP SIMD architecture was generated, using a combination of the DML-P front-end generator and the BEG back-end generator from the CoSy compiler generation toolset. A number of difficulties were encountered when specifying the code generator, for example disability to denote arbitrary register sequences in BEG specifications. However, the end result was positive and a number of lessons were learned on how to improve and generalize the code generation framework. An industrial-strength radar image filtering application was compiled with the generated compiler, giving a benchmarked performance of 2.8 times slower compared to the the same application implemented in micro-code like assembly. Despite the slow-down, industry considered this to be much better than expected. By improving BEG, including optimizing transformers from CoS. Text DML Unknown |
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English |
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Can today's most advanced compiler generation systems handle specialized parallel processor architectures? To answer this question, a compiler targeting the embedded RVIP SIMD architecture was generated, using a combination of the DML-P front-end generator and the BEG back-end generator from the CoSy compiler generation toolset. A number of difficulties were encountered when specifying the code generator, for example disability to denote arbitrary register sequences in BEG specifications. However, the end result was positive and a number of lessons were learned on how to improve and generalize the code generation framework. An industrial-strength radar image filtering application was compiled with the generated compiler, giving a benchmarked performance of 2.8 times slower compared to the the same application implemented in micro-code like assembly. Despite the slow-down, industry considered this to be much better than expected. By improving BEG, including optimizing transformers from CoS. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Andreas Persson Johan Ringström Peter Fritzson |
spellingShingle |
Andreas Persson Johan Ringström Peter Fritzson A Case Study of Code Generator Generation for Embedded SIMD Computers |
author_facet |
Andreas Persson Johan Ringström Peter Fritzson |
author_sort |
Andreas Persson |
title |
A Case Study of Code Generator Generation for Embedded SIMD Computers |
title_short |
A Case Study of Code Generator Generation for Embedded SIMD Computers |
title_full |
A Case Study of Code Generator Generation for Embedded SIMD Computers |
title_fullStr |
A Case Study of Code Generator Generation for Embedded SIMD Computers |
title_full_unstemmed |
A Case Study of Code Generator Generation for Embedded SIMD Computers |
title_sort |
case study of code generator generation for embedded simd computers |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.9599 |
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DML |
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DML |
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ftp://ftp.ida.liu.se/pub/labs/pelab/papers/pact96submitted.ps.gz |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.9599 |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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