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Amir H. Ashouri

University of Toronto, Canada

6 papers hereh-index 13665 citations25 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.PL4
  • cs.AI1
  • cs.CV1
affiliations
  • University of Toronto, Canada
HomepageORCID 0000-0001-8606-6497

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedA Survey on Compiler Autotuning using Machine Learning

230 citations · 260 across the 6 of their papers we have counts for

collaborators
Showing cs.PLShow all

4 papers · 1 filter

cs.PL2026

Protean Compiler: An Agile Framework to Drive Fine-grain Phase Ordering

Amir H. Ashouri, Shayan Shirahmad Gale Bagi, Kavin Satheeskumar +6

The phase ordering problem has been a long-standing challenge since the late 1970s, yet it remains an open problem due to having a vast optimization space and an unbounded nature,…

cs.PL2023

ACPO: AI-Enabled Compiler Framework

Amir H. Ashouri, Muhammad Asif Manzoor, Duc Minh Vu +7

The key to performance optimization of a program is to decide correctly when a certain transformation should be applied by a compiler. This is an ideal opportunity to apply machine…

cs.PL2022★ 12 cited

MLGOPerf: An ML Guided Inliner to Optimize Performance

Amir H. Ashouri, Mostafa Elhoushi, Yuzhe Hua +4

For the past 25 years, we have witnessed an extensive application of Machine Learning to the Compiler space; the selection and the phase-ordering problem. However, limited works ha…

cs.PL2018★ 230 cited

A Survey on Compiler Autotuning using Machine Learning

Amir H. Ashouri, William Killian, John Cavazos +2

Since the mid-1990s, researchers have been trying to use machine-learning based approaches to solve a number of different compiler optimization problems. These techniques primarily…

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