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Exercise 4.pdf

tutorial04.pdf
Preview of Exercise 4
🔗 Source: www2.mpi-magdeburg.mpg.de
📊 Size: 90 KB
📄 Pages: 2 pages
⬇️ Downloads: 103

Summary

Exercise 1 (10 points) involves implementing a sparse matrix-vector product as a C function and parallelizing it using OpenMP, evaluating different scheduling schemes and determining the optimal number of threads for a given hardware setup.
Exercise 2 (12 points) requires parallelizing a sequential code for computing the Mandelbrot set using OpenMP, comparing the runtime of different variants and scheduling schemes, and developing a GPU-accelerated variant.
Exercise 3 (8 points) involves implementing the "Block Outer Product" LU decomposition without pivoting, parallelizing the inner rank-k-update using OpenMP, and determining the optimal block size and parallel efficiency for different matrix sizes and thread counts.

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Description

Exercise 1 (10 points) involves implementing a sparse matrix-vector product as a C function and parallelizing it using OpenMP, evaluating different scheduling...

Technical Information

  • File Format: PDF
  • File Size: 90 KB
  • Pages: 2
  • Language: EN
  • Total Downloads: 103
  • Last Updated: 1 month ago

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This PDF document about Exercise 4 provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Exercise 4.

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