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

善變

賞心悅目

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

小溪

Adornment

,Die Viskosit?t 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

信條

減去

AVANT