Unfortunately, it has an important counterpart: since it duplicates function body, it enlarges the code of the compiled programs as well as the resulting object code. Included in a compiler for functional or object oriented languages, inline function expansion has been reported as one of the most valuable optimizations. In particular, numerically intensive programs are almost 20 times faster because floating point numbers are unboxed and no longer heap allocated. Experimental results show that for many allocation intensive programs we get a significant speedup. This analysis and associated optimizations have been implemented in the Bigloo Scheme/ML compiler. The second optimization avoids boxing some objects.
The first optimization replaces some heap allocations by stack allocations for user and system data storage (e.g. We show the application of our analysis to two important optimizations: stack allocation and unboxing. It handles side-effects, higher order functions, separate compilation and does not require CPS transformation. This analysis can be applied to both statically typed languages (e.g. This analysis deduces how objects are used by the program and allows the optimization of their allocation. In this paper we present a new program analysis method which we call ,(emph "Storage Use Analysis"). NET, the best implementing running on both Windows and Linux, still lags behind C and fast JVMs such as the Sun's implementations. We show that in term of speed performance of the Mono implementation of. In particular, we compare the speed of these programs when compiled to C, JVM and. We present performance analyses on a large set of real-life and standard Scheme benchmarks.
#LOGICIEL FLEEX HOW TO#
We discuss how to map Scheme constructs to CIL. Therefore, the CLR presents an interesting ground for functional language implementations. As such, the CLR is the first execution environment that offers type safety, managed memory, tail recursion support and several flavors of pointers to functions. Since CIL was designed with language agnosticism in mind, it provides a rich set of language constructs and functionalities. This platform provides a virtual machine, the Common Language Runtime (CLR), that executes bytecode, the Common Intermediate Language (CIL). This paper presents the compilation of the Scheme programming language to.
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