Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling Shared Cache Performance of OpenMP Programs using Reuse
  Distance   Performance modeling of parallel applications on multicore computers remains
a challenge in computational co-design due to the complex design of multicore
processors including private and shared memory hierarchies. We present a
Scalable Analytical Shared Memory Model to predict the performance of parallel
applications that runs on a multicore computer and shares the same level of
cache in the hierarchy. This model uses a computationally efficient,
probabilistic method to predict the reuse distance profiles, where reuse
distance is a hardware architecture-independent measure of the patterns of
virtual memory accesses. It relies on a stochastic, static basic block-level
analysis of reuse profiles measured from the memory traces of applications ran
sequentially on small instances rather than using a multi-threaded trace. The
results indicate that the hit-rate predictions on the shared cache are
accurate.

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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: math
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The categories of this paper are: hep-ex
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The categories of this paper are: q-bio
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The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
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The categories of this paper are: q-alg
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The categories of this paper are: alg-geom
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: econ
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The categories of this paper are: quant-ph
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The categories of this paper are: supr-con