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Applying a Tracing JIT to an Interpreter | PyPy
https://www.pypy.org/posts/2009/03/applying-tracing-jit-to-interpreter-3287844903778799266.html#:~:text=%20Applying%20a%20Tracing%20JIT%20to%20an%20Interpreter,the%20fact%20that%20the%20program%20that...%20More%20
Tracing just-in-time compilation - Wikipedia
https://en.wikipedia.org/wiki/Tracing_just-in-time_compilation
What are the benefits of a tracing JIT? - Hacker Bits
https://hackerbits.com/programming/what-are-the-benefits-of-a-tracing-jit/
What is a tracing JIT? Although tracing JITs are a complex technology, the core concept is about optimizing execution of the hot paths in a program. The emphasis is specifically on hot paths that return to the start of a path which sounds very much like a loop.
JIT Tracing ETW Events - .NET Framework | Microsoft Docs
https://docs.microsoft.com/en-us/dotnet/framework/performance/jit-tracing-etw-events
Understand just-in-time (JIT) tracing ETW events. These events collect information relating to the success or failure of JIT inlining and JIT tail calls. JIT Tracing ETW Events - .NET Framework | Microsoft Docs
Tracking - JIT Express
https://jitexpress.com/tracking/
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Applying a Tracing JIT to an Interpreter | PyPy
https://www.pypy.org/posts/2009/03/applying-tracing-jit-to-interpreter-3287844903778799266.html
torch.jit.trace — PyTorch 1.11.0 documentation
https://pytorch.org/docs/stable/generated/torch.jit.trace.html
When a module is passed torch.jit.trace, only the forward method is run and traced (see torch.jit.trace for details). example_inputs (tuple or torch.Tensor) – A tuple of example inputs that will be passed to the function while tracing. The resulting trace can be run with inputs of different types and shapes assuming the traced operations support those types and shapes.
torch.jit.script_if_tracing — PyTorch 1.11.0 documentation
https://pytorch.org/docs/stable/generated/torch.jit.script_if_tracing.html
torch.jit. script_if_tracing (fn) [source] ¶ Compiles fn when it is first called during tracing. torch.jit.script has a non-negligible start up time when it is first called due to lazy-initializations of many compiler builtins. Therefore you should not use it in library code. However, you may want to have parts of your library work in tracing even if they use control flow.
Have tracing JIT compilers won? | Lambda the Ultimate
http://lambda-the-ultimate.org/node/3851
Real tracing jit can beat all of that in the case that in most runs there are dominant paths, but there are many possible paths, and which paths will be dominant varies widely across runs. Conversely, tracing jit can't well handle hot loops which have many branches, none of them dominant - while static or method-jit methods can do a better job.
Tracing JIT vs Method JIT: What to choose? - reddit
https://www.reddit.com/r/ProgrammingLanguages/comments/hvs79e/tracing_jit_vs_method_jit_what_to_choose/
There are contradictory claims around on which of the two approaches offers the best peak performance (... but at least for Java no tracing JIT outperforms existing method-based JIT) and which approach is simpler. Another option these days is to use a mature meta-implementation, such as Pypy or Truffle/Graal.
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