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Hugh Leather

16 papers hereh-index 242.1k citations79 works total

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

author position
  • middle author4
  • last author10

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.PL7
  • cs.LG6
  • cs.AI1
  • cs.CL1
  • cs.DC1
same name
  • Hugh Leather — 10 papers, h 9
  • Hugh Leather — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152024
most citedProGraML: Graph-based Deep Learning for Program Optimization and Analysis

24 citations · 57 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.PL2021

Caviar: An E-graph Based TRS for Automatic Code Optimization

Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb +4

Term Rewriting Systems (TRSs) are used in compilers to simplify and prove expressions. State-of-the-art TRSs in compilers use a greedy algorithm that applies a set of rewriting rul…

cs.PL2021

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

Chris Cummins, Bram Wasti, Jiadong Guo +9

Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is increasing rapidly, but compiler research has a high entry barrier. Unlike in other domain…

cs.LG2021★ 3 cited

Using Graph Neural Networks to model the performance of Deep Neural Networks

Shikhar Singh, Benoit Steiner, James Hegarty +1

With the unprecedented proliferation of machine learning software, there is an ever-increasing need to generate efficient code for such applications. State-of-the-art deep-learning…

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