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researcher

H. Peeler

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.NE2

identity via Semantic Scholar / OpenAlex

most citedGenetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NE2022★ 5 cited

Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences

Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss +2

Genetic improvement is a search technique that aims to improve a given acceptable solution to a problem. In this paper, we present the novel use of genetic improvement to find prob…

cs.NE2022

Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework

Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss +3

In this paper we introduce Shackleton as a generalized framework enabling the application of linear genetic programming -- a technique under the umbrella of evolutionary algorithms…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.