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Implementing heap-object behavior prediction dfficiently and dffectively

机译:高效,有效地实现堆对象行为预测

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Heap-allocated objects play an important role in many modern programs. Various results have shown the overall performance of these programs can be improved by increasing the reference locality of heap- allocated objects. In this paper we describe an approach that improves the virtual memory performance of allocation-intensive C programs by predicting the reference behavior and lifetime of heap objects as they are allocated. We further describe an implementation of our prediction algorithm and evaluate its performance on real programs.
机译:堆分配的对象在许多现代程序中起着重要的作用。各种结果表明,可以通过增加堆分配对象的引用局部性来改善这些程序的整体性能。在本文中,我们描述了一种通过预测堆对象被分配时的引用行为和生存期来提高分配密集型C程序的虚拟内存性能的方法。我们进一步描述了预测算法的实现,并评估了其在实际程序中的性能。

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