From Newsgroup: comp.compilers

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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