Hacker News
- JIT Compilers Are Implemented and Fast: Julia, PyPy, LuaJIT, Graal and More https://carolchen.me/blog/jits-impls/ 5 comments
Lobsters
- How JIT Compilers are Implemented and Fast: Julia, Pypy, LuaJIT, Graal and More https://carolchen.me/blog/jits-impls/ 3 comments compilers
- How JIT Compilers are Implemented and Fast: Pypy, LuaJIT, Graal and More https://carolchen.me/blog/jits-impls/ 42 comments programming
- How JIT Compilers are Implemented and Fast: Julia, Pypy, LuaJIT, Graal and More | Carol's Blog https://carolchen.me/blog/jits-impls/ 3 comments programming
Linked pages
- Hyrum's Law http://www.hyrumslaw.com/ 560 comments
- Laurence Tratt: Why Arenât More Users More Happy With Our VMs? Part 1 http://tratt.net/laurie/blog/entries/why_arent_more_users_more_happy_with_our_vms_part_1.html 166 comments
- Introducing the WebKit FTL JIT | WebKit https://www.webkit.org/blog/3362/introducing-the-webkit-ftl-jit/ 144 comments
- JAX Quickstart — JAX documentation https://jax.readthedocs.io/en/latest/notebooks/quickstart.html 143 comments
- A Deep Introduction to JIT Compilers: JITs are not very Just-in-time | kipply's blog https://carolchen.me/blog/jits-intro/ 107 comments
- Optimizing Ruby Lazy Initialization in TruffleRuby with Deoptimization — Development https://engineering.shopify.com/blogs/engineering/optimizing-ruby-lazy-initialization-in-truffleruby-with-deoptimization 72 comments
- Re: How does LuaJIT's trace compiler work? - luajit - FreeLists http://www.freelists.org/post/luajit/How-does-LuaJITs-trace-compiler-work,1 43 comments
- http://lafo.ssw.uni-linz.ac.at/papers/2013_onward_onevmtorulethemall.pdf 9 comments
- Benchmarking correctly is hard (and techniques for doing it better) http://jvns.ca/blog/2016/07/23/rigorous-benchmarking-in-reasonable-time/ 9 comments
- GitHub - oracle/truffleruby: A high performance implementation of the Ruby programming language, built on GraalVM. https://github.com/oracle/truffleruby 3 comments
- Tracing vs. Partial Evaluation: Comparing Meta-Compilation Approaches for Self-Optimizing Interpreters http://stefan-marr.de/papers/oopsla-marr-ducasse-meta-tracing-vs-partial-evaluation/ 2 comments
- http://chrisseaton.com/rubytruffle/pldi17-truffle/pldi17-truffle.pdf 0 comments
- PyPy Status Blog: Escape Analysis in PyPy's JIT http://morepypy.blogspot.com/2010/09/escape-analysis-in-pypys-jit.html 0 comments
- Understanding Basic Graal Graphs https://chrisseaton.com/truffleruby/basic-graal-graphs/ 0 comments
- Top 10 Things To Do With GraalVM https://chrisseaton.com/truffleruby/tenthings/ 0 comments
- Very High Performance C Extensions For JRuby+Truffle https://chrisseaton.com/truffleruby/cext/ 0 comments
- Deoptimizing Ruby https://chrisseaton.com/truffleruby/deoptimizing/ 0 comments
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