Writing Fast Java Code with the Vector API - JEP Café 18

Writing Fast Java Code with the Vector API - JEP Café 18

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Loading any array in a vector using masks

7 of 16

7 of 16

Loading any array in a vector using masks

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Classroom Contents

Writing Fast Java Code with the Vector API - JEP Café 18

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  1. 1 Intro
  2. 2 Introducing the SIMD features of your CPU
  3. 3 Scalar parallel computing based on concurrency
  4. 4 Vector parallel computing based on SIMD machine
  5. 5 Shape and species of a Vector
  6. 6 Creating vectors from arrays to sum them
  7. 7 Loading any array in a vector using masks
  8. 8 Avoiding masking when it is not supported
  9. 9 Parallel cross-lanes and lane-wise operations
  10. 10 Computing the norm of a vector in parallel
  11. 11 Computing the average of vector components in parallel
  12. 12 Filtering and compressing a vector in parallel
  13. 13 Reducing a vector in parallel
  14. 14 Wrapping up parallel computations using vectors
  15. 15 Examples, patterns and performances
  16. 16 Outro

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