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preprint: The ART of Sharing Points-to Analysis

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This paper proposes an improvement in "points-to" dataflow analysis,
that they think will be useful in JIT compilers such as for Java.

  Data-flow analyses like points-to analysis can vastly improve the
  precision of other analyses, and help perform powerful code
  optimizations. However, whole-program points-to analysis of large
  programs tend to be expensive - both in terms of time and memory.
  Consequently, many compilers (both static and JIT) and
  program-analysis tools tend to employ faster - but more conservative -
  points-to analysis to improve usability. As an alternative to such
  trading of precision for performance, various techniques have been
  proposed to perform precise yet expensive fixed-point points-to
  analyses ahead of time in a static analyzer, store the results, and
  then transmit them to independent compilation/program-analysis stages
  that may need them. However, an underlying concern of safety affects
  all such techniques - can a compiler (or program analysis tool) trust
  the points-to analysis results generated by another compiler/tool? In
  this work, we address this issue of trust, while keeping the issues of
  performance efficiency in mind. We propose ART: Analysis-results
  Representation Template - a novel scheme to efficiently and concisely
  encode results of flow-sensitive, context-insensitive points-to
  analysis computed by a static analyzer for use in any independent
  system that may benefit from such a highly precise points-to analysis.
  Our scheme has two components: (i) a producer that can statically
  perform expensive points-to analysis and encode the same concisely.
  (ii) a consumer that, on receiving such encoded results, can
  regenerate the points-to analysis results encoded by the artwork if it
  is deemed safe. We demonstrate the usage of ART by implementing a
  producer (in Soot) and two consumers (in Soot and the Eclipse OpenJ9
  JIT compiler). We evaluate our implementation over various benchmarks
  from the DaCapo and SPECjvm2008 suites.

https://arxiv.org/abs/2409.09062

Regards,
John Levine, johnl@taugh.com, Taughannock Networks, Trumansburg NY
Please consider the environment before reading this e-mail. https://jl.ly

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preprint: The ART of Sharing Points-to Analysis John R Levine <johnl@taugh.com> - 2024-09-17 14:08 -0400

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