A framework for Compiler Level statistical analysis over customized VLIW architecture. - Amir Hossein Ashouri; Vittorio Zaccaria; Sotirios Xydis; Gianluca Palermo; Cristina Silvano (VLSI-SoC, 2013)

A Bayesian network approach for compiler auto-tuning for embedded processors. - Amir Hossein Ashouri; Giovanni Mariani; Gianluca Palermo; Cristina Silvano (ESTIMedia, 2014)

An Evaluation of Autotuning Techniques for the Compiler Optimization Problems. - Amir Hossein Ashouri; Gianluca Palermo; Cristina Silvano (RES4ANT@DATE, 2016)

Predictive modeling methodology for compiler phase-ordering. - Amir Hossein Ashouri; Andrea Bignoli; Gianluca Palermo; Cristina Silvano (PARMA-DITAM@HiPEAC, 2016)

COBAYN: Compiler Autotuning Framework Using Bayesian Networks. - Amir Hossein Ashouri; Giovanni Mariani; Gianluca Palermo; Eunjung Park; John Cavazos; Cristina Silvano (ACM Trans. Archit. Code Optim., 2016)

Compiler autotuning using machine learning techniques. - Amir H. Ashouri (2016)

MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning. - Amir Hossein Ashouri; Andrea Bignoli; Gianluca Palermo; Cristina Silvano; Sameer Kulkarni; John Cavazos (ACM Trans. Archit. Code Optim., 2017)

Automatic Tuning of Compilers Using Machine Learning. - Amir H. Ashouri; Gianluca Palermo; John Cavazos; Cristina Silvano (Springer, 2018)

Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox. - Cristina Silvano; Gianluca Palermo; Giovanni Agosta; Amir H. Ashouri; Davide Gadioli; Stefano Cherubin; Emanuele Vitali; Luca Benini; Andrea Bartolini; Daniele Cesarini; João M. P. Cardoso; João Bispo; et al. (CF, 2018)

SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications. - Davide Gadioli; Ricardo Nobre; Pedro Pinto 002; Emanuele Vitali; Amir H. Ashouri; Gianluca Palermo; João M. P. Cardoso; Cristina Silvano (DATE, 2018)

Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks. - Amir H. Ashouri; Tarek S. Abdelrahman; Alwyn Dos Remedios (CoRR, 2018)

A Survey on Compiler Autotuning using Machine Learning. - Amir H. Ashouri; William Killian; John Cavazos; Gianluca Palermo; Cristina Silvano (ACM Comput. Surv., 2019)

Retraining-free methods for fast on-the-fly pruning of convolutional neural networks. - Amir H. Ashouri; Tarek S. Abdelrahman; Alwyn Dos Remedios (Neurocomputing, 2019)

Work-in-Progress: MLGOPerf: An ML Guided Inliner to Optimize Performance. - Amir H. Ashouri; Mostafa Elhoushi; Yuzhe Hua; Xiang Wang; Muhammad Asif Manzoor; Bryan Chan; Yaoqing Gao (CASES, 2022)

MLGOPerf: An ML Guided Inliner to Optimize Performance. - Amir H. Ashouri; Mostafa Elhoushi; Yuzhe Hua; Xiang Wang; Muhammad Asif Manzoor; Bryan Chan; Yaoqing Gao (CoRR, 2022)

ACPO: AI-Enabled Compiler-Driven Program Optimization. - Amir H. Ashouri; Muhammad Asif Manzoor; Duc Minh Vu; Raymond Zhang; Ziwen Wang; Angel Zhang; Bryan Chan; Tomasz S. Czajkowski; Yaoqing Gao (CoRR, 2023)

Work-in-Progress:ACPO: An AI-Enabled Compiler Framework. - Amir H. Ashouri; Muhammad Asif Manzoor; Minh Vu; Raymond Zhang; Ziwen Wang; Angel Zhang; Bryan Chan; Tomasz S. Czajkowski; Yaoqing Gao (CASES, 2024)