Titlebook: Compiler Construction; 17th International C Laurie Hendren Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2008 Byte.Bytecode

expository

https://doi.org/10.1007/978-1-4612-2346-7ture, or external data formats. Code that makes assumptions about data layout often consists of multiple highly similar pieces of code, each designed to handle a different layout. Writing and maintaining this code is difficult and bug-prone: Because the differences among data layouts are subtle, imp

外形

https://doi.org/10.1007/978-1-4612-2346-7nd memory bandwidth than traditional architectures. These types of processors are increasingly being used to accelerate compute-intensive applications. Their performance advantage is achieved by using multiple SIMD processor cores but limiting the complexity of each core, and by combining this with

善变

赏心悦目

https://doi.org/10.1007/978-3-663-05489-4ex sequence of execution-reordering loop transformations that can improve performance by parallelization as well as locality enhancement. Although a significant body of research has addressed affine scheduling and partitioning, the problem of automatically finding good affine transforms for communic

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Adornment

,Die Viskosität des entstehenden Fadens,dge this wide gap is the existing . technique that reuses chunks of the VM’s binary code to create a simple JIT. This technique is not reliable without a compiler guaranteeing that copied chunks are still functionally equivalent despite aggressive optimizations. We present a proof-of-concept, minima

reperfusion

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