Helping to make LuaJIT faster

This is a guest post by Laurence Tratt, who is a programmer and Reader in Software Development in the Department of Informatics at King's College London where he leads the Software Development Team. He is also an EPSRC Fellow.
Programming language Virtual Machines (VMs) are familiar beasts: we use them to run apps on our phone, code inside our browsers, and programs on our servers. Traditional VMs are useful and widely used: nearly every working programmer is familiar with one or more of the “standard” Lua, Python, or Ruby VMs. However, such VMs are simplistic, containing only an interpreter (a simple implementation of a language). These often can’t run our programs as fast as we need; and, even when they can, they often waste huge amounts of server CPU time. We sometimes forget that servers consume a large, and growing, chunk of the world’s electricity output: slow language implementations are, quite literally, changing the world, and not in a good way.
More advanced VMs come with Just-In-Time (JIT) compilers (well known examples include LuaJIT, HotSpot (aka “the JVM”), PyPy, and V8). Such VMs observe a program’s run-time behaviour and use that to compile frequently executed parts of the program Continue reading
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