Code Instruction Selection Based on SSA-Graphs
作者： Erik Eckstein , Oliver König , Bernhard Scholz
DOI: 10.1007/978-3-540-39920-9_5
关键词: Parallel computing 、 Feature (machine learning) 、 Code generation 、 Code (cryptography) 、 Pattern matching 、 Computer science 、 Register allocation 、 Instruction set 、 Instruction selection 、 Data structure
摘要: Instruction selection for embedded processors is a challenging problem. Embedded system architectures feature highly irregular instruction sets and complex data paths. Traditional code generation techniques have difficulties to fully utilize the features of such typically result in inefficient code.
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