Titlebook: Compiler Construction; 18th International C Oege Moor,Michael I. Schwartzbach Conference proceedings 2009 Springer-Verlag Berlin Heidelberg

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Register Spilling and Live-Range Splitting for SSA-Form Programs,s of variables between registers and memory. Since fetching data from memory is much slower than reading directly from a register, careful spill code insertion is critical for the performance of the compiled program..In this paper, we present a spilling algorithm for programs in SSA form. Our algori

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Scheduling Tasks to Maximize Usage of Aggregate Variables in Place,at copies the result of every computation to a new location, can result in poor performance. Whereas, an implementation that keeps the results in the same location, when possible, can achieve much higher performance..In this paper, we present a greedy algorithm for in-place computation of aggregate

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Dynamic Look Ahead Compilation: A Technique to Hide JIT Compilation Latencies in Multicore Environmter used for initial execution of methods, and a JIT for native code generation. The availability of multiple processors on current architectures makes it attractive to perform dynamic compilation in parallel with application execution. The major issue is to decide at runtime which methods to compil

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Precise Management of Scratchpad Memories for Localising Array Accesses in Scientific Codes,anaged automatically by hardware logic. Instead, they offer a so-called scratchpad memory which is fast like a cache but, unlike a cache, has to be managed explicitly, i.e., the burden of its efficient use is imposed on the software. We present a method for computing precisely which memory cells are

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