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MAD-NG.docs reviews and mentions
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Bytecode for a Register Machine
Did you have a look at LuaJIT? See e.g. http://luajit.org/, http://wiki.luajit.org/Bytecode-2.0, http://wiki.luajit.org/SSA-IR-2.0, and https://github.com/MethodicalAcceleratorDesign/MADdocs/blob/master/luajit/luajit-doc.pdf
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Tracing JITs and coverage-guided fuzzers
It doesn't know that it's an interpreter loop; it just makes a hotpath analysis and then makes decisions on what (variable lenght) traces to optimize and compile. Have a look at https://github.com/MethodicalAcceleratorDesign/MADdocs/blob/master/luajit/luajit-doc.pdf. Actually I'm just a LuaJIT user, not a specialist for tracing JITs. I just wanted to correct the wrong statement that "performance improvements for tracing JITs" "struggle to achieve their goals" with "Interpreters and similar programs that “look like” interpreters". If that was the case, PyPy would not be successful and I wasn't able to achieve the measured speed-up (which btw is higher than the speed-up measured at http://luajit.org/performance_x86.html).
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MethodicalAcceleratorDesign/MAD-NG.docs is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of MAD-NG.docs is TeX.
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