Search Results for author: Hannah Peeler

Found 2 papers, 1 papers with code

Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences

no code implementations28 Apr 2022 Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf

In this paper, we present the novel use of genetic improvement to find problem-specific optimized LLVM pass sequences.

Code Generation

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

1 code implementation31 Jan 2022 Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid, Yuan Yuan, Wolfgang Banzhaf

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 -- to a variety of use cases.

Evolutionary Algorithms

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