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\begin{abstract}
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We present Emscripten, an LLVM-to-JavaScript compiler. Emscripten compiles
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LLVM assembly code into standard JavaScript, which opens up two avenues for running code written
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LLVM (Low Level Virtual Machine) assembly code into standard JavaScript, which opens up two avenues for running code written
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in languages other than JavaScript on the web: (1) Compile code directly into LLVM bitcode, and
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then compile that into JavaScript using Emscripten, or (2) Compile
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a language's entire runtime into LLVM and then JavaScript, as in the previous
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@ -633,7 +633,18 @@ The first column is the name of the benchmark, and in parentheses any
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parameters used in running it. The source code to all the benchmarks
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can be found at \url{https://github.com/kripken/emscripten/tree/master/tests}
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(each in a separate file with its name, except for `primes', which is
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embedded inside runner.py in the function test\_primes). The second
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embedded inside runner.py in the function test\_primes). A brief summary of
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the benchmarks is as follows:
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\begin{itemize}
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\item \textbf{fannkuch} and \textbf{fasta} are commonly-known benchmarks, appearing for example
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on the Computer Language Benchmarks Game\footnote{\url{http://shootout.alioth.debian.org/}}.
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They use a mix of mathematic operations (integer in the former, floating-point in the latter) and memory access.
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\item \textbf{primes} is the simplest benchmark in terms of code. It is basically just a tiny loop that calculates prime numbers.
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\item \textbf{raytrace} is real-world code, from the sphereflake raytracer\footnote{\url{http://ompf.org/ray/sphereflake/}}. This benchmark has a combination of memory access and floating-point math.
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\item \textbf{dlmalloc} (Doug Lea's malloc\footnote{\url{http://en.wikipedia.org/wiki/Malloc#dlmalloc_and_its_derivatives}}) is a well-known real-world implementation of malloc and free. This benchmark does a large amount of calls to malloc and free in an intermixed way, which tests memory access and integer calculations.
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\end{itemize}
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Returning to the table of results, the second
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column is the elapsed time (in seconds) when running the compiled code (generated using all Emscripten and LLVM
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optimizations as well as the Closure Compiler) in the SpiderMonkey JavaScript
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engine (specifically the JaegerMonkey branch, checked out June 15th, 2011).
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