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Instruction selection

Known as: Lowest common denominator (computers) 
In computer science, instruction selection is the stage of a compiler backend that transforms its tree-based middle-level intermediate representation… 
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Related topics

Related topics

15 relations
Assembly languageCode generation (compiler)CompilerComputer science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Towards domain-specific Instruction-Set Generation
Over the past years, a considerable amount of effort has been devoted to the definition and implementation of techniques for the… 
2010
2010
Instruction selection by graph transformation
Common generated instruction selections are based on tree pattern matching, but modern and custom architectures feature… 
2009
2009
Efficient Heuristic Algorithm for Rapid Custom-Instruction Selection
Custom-instruction selection is an essential phase in custom-instruction generation. It determines the most profitable custom… 
2007
2007
Chapter 10 – Datapath Synthesis
2006
2006
A flexible instruction generation framework for extending embedded processors
Modern platform-based design involves the domain-specific extension of embedded processors to fit customer requirements. To… 
1999
1999
Dependence Analysis for Java
We describe a novel approach to performing data dependence analysis for Java in the presence of Java's "non-traditional" language… 
1997
1997
Multithreading with Distributed Functional Units
  • B. Gunther
  • IEEE Trans. Computers
  • 1997
  • Corpus ID: 466574
Multithreaded processors multiplex the execution of a number of concurrent threads onto the hardware in order to hide latencies… 
Highly Cited
1996
Highly Cited
1996
Instruction selection for embedded DSPs with complex instructions
We address the problem of instruction selection in code generation for embedded digital signal processors. Recent work has shown… 
1995
1995
Architecture and C++-programming environment of a highly parallel image signal processor
1990
1990
Efficient Retargetable Code Generation Using Bottom-up Tree Pattern Matching
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