4 ms·

How does perf compare against GCC? How well can it target nvidia GPUs? Does machine code analyzer support in order hardware yet ?

• pjmlp 6y ago
  CUDA compilers are a fork of LLVM.
  • my123 6y ago
    They use LLVM, but without the Clang part. (even available to 3rd-party apps as NVVM, which currently takes in LLVM 7 byte code) Upstream Clang supports compiling CUDA code however.
  • gavinray 6y ago
    lol. just lol. first thought when I read that
• vlovich123 6y ago
  1. Phoronix regularly releases benchmarks. You should look at them. At the end of the day it’s all workload-dependent and they trade off the performance crown. 2. Do you mean this [1]? If so then for a while it seems. 3. I don’t understand the question. I can’t find anything called a “machine code analyzer” or how the code analyzer/or any sanitizers relate to in-order vs out-of-order hardware as a class. The former works at source level. The latter is a mixture of library support code and codegen instrumentation and I’m not aware of anything specifically that relies on the execution mode of a CPU (I would imagine RAM constraints are the bigger issue). [1] https://www.hahnjo.de/blog/2018/10/08/clang-7.0-openmp-offloading-nvidia.html https://www.hahnjo.de/blog/2018/10/08/clang-7.0-openmp-offlo...
  • muizelaar 6y ago
    llvm-mca
  • mhh__ 6y ago
    LLVM has a project called mca which reused the machine description files used for instruction scheduling to model the throughout of a basic block in steady state. Sounds cool, is cool - word of warning: it can be a little optimistic sometimes.