Optimal instruction scheduling using integer programming. - Kent D. Wilken; Jack Liu; Mark Heffernan (PLDI, 2000)

Data-Dependency Graph Transformations for Instruction Scheduling. - Mark Heffernan; Kent D. Wilken (J. Sched., 2005)

Data-Dependency Graph Transformations for Superblock Scheduling. - Mark Heffernan; Kent D. Wilken; Ghassan Shobaki (MICRO, 2006)

Optimal trace scheduling using enumeration. - Ghassan Shobaki; Kent D. Wilken; Mark Heffernan (ACM Trans. Archit. Code Optim., 2009)

gpucc: an open-source GPGPU compiler. - Jingyue Wu; Artem Belevich; Eli Bendersky; Mark Heffernan; Chris Leary; Jacques A. Pienaar; Bjarke Roune; Rob Springer; Xuetian Weng; Robert Hundt (CGO, 2016)

Graph transformations for register-pressure-aware instruction scheduling. - Ghassan Shobaki; Justin Bassett; Mark Heffernan; Austin Kerbow (CC, 2022)

Detecting the overfilled status of domestic and commercial bins using computer vision. - Cathaoir Agnew; Dishant Mewada; Eoin Martino Grua; Ciarán Eising; Patrick Denny; Mark Heffernan; Ken Tierney; Pepijn van de Ven; Anthony G. Scanlan (Intell. Syst. Appl., 2023)

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision. - Dishant Mewada; Cathaoir Agnew; Eoin Martino Grua; Ciarán Eising; Patrick Denny; Mark Heffernan; Ken Tierney; Pepijn van de Ven; Anthony G. Scanlan (IEEE Access, 2024)

The recessionary pressures of generative AI: A threat to wellbeing. - Jo-An Occhipinti; Ante Prodan; William Hynes; Roy Green; Sharan Burrow; Harris A. Eyre; Adam Skinner; Goran Ujdur; John Buchanan; Ian Bernard Hickie; Mark Heffernan; Yun Ju Christine Song; et al. (CoRR, 2024)

In the Shadow of Smith's Invisible Hand: Risks to Economic Stability and Social Wellbeing in the Age of Intelligence. - Jo-An Occhipinti; William Hynes; Ante Prodan; Harris A. Eyre; Roy Green; Sharan Burrow; Marcel Tanner; John Buchanan; Goran Ujdur; Frederic Destrebecq; Yun Ju Christine Song; Steven Carnevale; et al. (CoRR, 2024)

Cutting Through the Confusion and Hype: Understanding the True Potential of Generative AI. - Ante Prodan; Jo-An Occhipinti; Rehez Ahlip; Goran Ujdur; Harris A. Eyre; Kyle Goosen; Luke Penza; Mark Heffernan (CoRR, 2024)