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https://doi.org/10.1145/357999...
Article . 2023 . Peer-reviewed
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To Pack or Not to Pack: A Generalized Packing Analysis and Transformation

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 17 Feb 2023Publisher:ACMJournal:Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and OptimizationFunded by:NSERC | unidentified
Authors: Caio Salvador Rohwedder; Nathan Henderson; João P. L. de Carvalho; Yufei Chen; J. Nelson Amaral;

doi: 10.1145/3579990.3580024 , 10.5281/zenodo.7352874

To Pack or Not to Pack: A Generalized Packing Analysis and Transformation

Abstract

Artifact of the paper "To Pack or Not to Pack: A Generalized Packing Analysis and Transformation". - docker-packing-artifact.tar.gz: docker image for the execution of experiments - llvm-packing-v0.5.zip: LLVM source code with packing implementation (binary in docker image) - logs-and-graphs.zip: Log files and graphs that were used in the paper - packing-scripts.zip: scripts used to run experiments and Dockerfile source (also provided in docker image) - polybench-c-4.2.1-plus-contract-3d.zip: Polybench 4.2 and running example of paper (also provided in docker image)

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Keywords

Packing, Optimization, LLVM

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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