Resources

Learn

• This "Introduction to compiling for the Cell Broadband Engine" tutorial series is based on a presentation by IBM Research originally given at PACT 2005.
  
  
• The IBM Research Octopiler is neither your grandfather's compiler, nor your grandfather's Oldsmobile.
  
  
• The Cell Broadband Engine documentation section of the IBM Semiconductor Solutions Technical Library lists specifications, user manuals, and articles of general interest -- including the SPU Instruction Set Architecture documentation.
  
  
• Learn more about OpenMP: a portable, scalable, cross-platform model that gives shared-memory parallel programmers a simple and flexible interface for developing parallel applications.
  
  
• The IBM developerWorks Cell Broadband Engine resource center is your destination for all things Cell BE.
  
  
• Peruse the developerWorks Power Architecture technology zone archives.
  
  
• For examples of ray-tracing code, see the Apple doc "Data Handling and Data Formats" and Ryan Michael Schmidt's (one of the "other" RMS's) "Transforming Normals: A Tutorial."
  
  
• "IBM's Blue Gene/L Compiler Implementation" by Mark Mendell and Roch Archambault offers a more general overview of the BlueGene/L compiler.
  
  
• "Efficient SIMD Code Generation for Runtime Alignment and Length Conversion" by Peng Wu, Alexandre E. Eichenberger, and Amy Wang presents two major enhancements to the state of the art in both performance and coverage.
  
  

Get products and technologies

• Get Cell-related downloads including the IBM Full System Simulator, an evaluation copy of the Visual Age XL C compiler for Cell, and the Cell SDK from IBM alphaWorks.
  
  
• Download a copy of the GCC compiler for Cell from the Barcelona Supercomputer Center.
  
  
• Get Custom: IBM Engineering & Technology Services can help you with Cell- and custom-processor based solutions.
  
  
• Find more Power Architecture-related downloadsin one page.
  
  
• Get a free subscription to the Power Architecture Community Newsletter.
  
  

Discuss

• Participate in the discussion forum.
  
  
• Send a letter to the editor.
  
  

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Table of contents

• Before you start
• Automatic simdization
• Simdization technique highlights
• SIMD code generation
• Managing complexity
• How to support the cross product of all of these?
• Example 1: Basic-block and loop-level aggregation
• Example 2: Data-size conversion and misalignment
• Notes and conclusions
• Download
• Resources
• About the author

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