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DTSTAMP:20240626T180033Z
LOCATION:3001\, 3rd Floor
DTSTART;TZID=America/Los_Angeles:20240626T154500
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UID:dac_DAC 2024_sess161_RESEARCH131@linklings.com
SUMMARY:Efficient Code Generation for Data-Intensive Simulink Models via R
 edundancy Elimination
DESCRIPTION:Research Manuscript\n\nZehong Yu, Zhuo Su, and Yu Jiang (Tsing
 hua University); Aiguo Cui (Huawei); and Rui Wang (Capital Normal Universi
 ty)\n\nSimulink has emerged as the fundamental infrastructure that support
 s modeling, simulation, verification, and code generation for embedded sof
 tware development. To improve the performance of the code generated from S
 imulink models, state-of-the-art code generators employ various optimizati
 on techniques, such as expression folding, variable reuse, and parallelism
 . However, they overlook the presence of redundant calculations within dat
 a-intensive models widely used to perform substantial data processing in e
 mbedded scenarios, which can significantly undermine the efficiency and pe
 rformance of the generated code.\n\nThis paper proposes Frodo, an efficien
 t code generator for data-intensive Simulink models via redundancy elimina
 tion. Frodo first conducts model analysis to construct the dataflow graph 
 and derive the I/O mapping of each block. Then, for each block within the 
 dataflow graph, Frodo recursively determines its calculation range by leve
 raging the I/O mapping of its subsequent blocks. After that, Frodo generat
 es concise code for optimizable blocks in accordance with the precise calc
 ulation range. We implemented and evaluated Frodo on benchmark Simulink mo
 dels. Compared with the state-of-the-art code generators Simulink Embedded
  Coder, DFSynth, and HCG, the code generated by Frodo is 1.17x - 8.55x fas
 ter in terms of execution duration across different compilers and architec
 tures, without incurring additional overhead of memory usage.\n\nTopic: Em
 bedded Systems\n\nKeyword: Embedded Software
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