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Compilation Techniques for Multimedia Processors

Explore methods to optimize multimedia performance through vectorization, instruction sets, and loop unrolling. Learn about challenges and solutions in multimedia processor programming.

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Compilation Techniques for Multimedia Processors

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  1. Compilation Techniques for Multimedia Processors Andreas Krall and Sylvain Lelait Technische Universitat Wien

  2. Motivation • High processing power needed by multimedia applications • Special instruction sets for multimedia data • Implemented by special processors • Multimedia instruction set extensions • Visual instruction set(VIS) of UltraSPARC • Altivec extension of PowerPC • MMX extension of Pentium • MAX-2 instruction set of HP PA-RISC

  3. Problems and Solutions • New functionality has not been exploited properly • Have to code in assembly language • Use provided system libraries • Call macros in high-level language • Compile a program coded in high-level language into multimedia instructions • Classic vectorization • Vectorization by loop unrolling

  4. Classic Vectorization • Loop analysis • Loop normalization • Scalar expansion • Dependence analysis • Vectorization • Alignment management • Strip mining • Constant expansion • Lower iteration space • Lower alignment • Instruction selection and register allocation

  5. Classic Vectorization • Loop analysis • Loop normalization • Scalar expansion • Dependence analysis • Vectorization • Alignment management • Strip mining • Constant expansion • Lower iteration space • Lower alignment • Instruction selection and register allocation

  6. Classic Vectorization • Loop analysis • Loop normalization • Scalar expansion • Dependence analysis • Vectorization • Alignment management • Strip mining • Constant expansion • Lower iteration space • Lower alignment • Instruction selection and register allocation

  7. Classic Vectorization • Loop analysis • Loop normalization • Scalar expansion • Dependence analysis • Vectorization • Alignment management • Strip mining • Constant expansion • Lower iteration space • Lower alignment • Instruction selection and register allocation

  8. Vectorization by Loop Unrolling • Loop analysis • Compute unrolling degree • Loop unrolling • Dependence analysis • Dependence verification • Generation of vector instructions • Alignment management • Lower iteration space • Lower alignment • Instruction selection and register allocation

  9. Vectorization by Loop Unrolling • Loop analysis • Compute unrolling degree • Loop unrolling • Dependence analysis • Dependence verification • Generation of vector instructions • Alignment management • Lower iteration space • Lower alignment • Instruction selection and register allocation

  10. Vectorization by Loop Unrolling • Loop analysis • Compute unrolling degree • Loop unrolling • Dependence analysis • Dependence verification • Generation of vector instructions • Alignment management • Lower iteration space • Lower alignment • Instruction selection and register allocation

  11. Experimental Results

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