Titlebook: Compiler Construction; 23rd International C Albert Cohen Conference proceedings 2014 Springer-Verlag Berlin Heidelberg 2014 GPUs.SSA form.c

抱狗不敢前

Taming Control Divergence in GPUs through Control Flow Linearizationis mechanism reconverges the divergent threads as early as possible. It also reduces the depth of the reconvergence stack. The available parallelism in nested branches can be effectively extracted by scheduling the basic blocks to reduce the effect of stalls due to memory accesses. It can also incre

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Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler a scenario demands a radical new solution for the traditional compiler optimization flow. This paper proposes collecting web clients performance data to build a crowdsourced compiler flag suggestion system in the cloud that helps the compiler perform the appropriate optimizations for each client pl

谁在削木头

Using the SSA-Form in a Code Generatoresentation that supports most of the code optimizations. However, aggressive compilation also requires that optimizations that are more effective with the SSA form be applied to the target-specific program representations operated by the code generator, that is, the set of compiler phases after and

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Parameterized Construction of Program Representations for Sparse Dataflow Analysescutive statements, we call the analysis dense. On the other hand, if these regions include many such points, then we call it sparse. This paper presents a systematic method to build program representations that support sparse analyses. To pave the way to this framework we clarify the bibliography ab

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Inter-iteration Scalar Replacement Using Array SSA FormSA form, a uniform representation for capturing control and data flow properties at the level of array or pointer accesses. We present extensions to the original Array SSA form representation to capture loop-carried data flow information for arrays and pointers. A core contribution of our algorithm