OaBoyle Michael F.P.
Papers
1
Total Citations
37
H-Index
1
About
Michael F.P. O'Boyle is a leading figure in the field of computer architecture and compilation, with a particular focus on automated performance optimization and reproducible benchmarking. His work has fundamentally advanced how complex systems, particularly those in robotics and computer vision, are evaluated and optimized. O'Boyle is best known for spearheading the SLAMBench project, a systematic and reproducible evaluation framework for Simultaneous Localization and Mapping (SLAM) systems. His landmark paper, "SLAMBench 3.0," with 37 citations, represents a major contribution by expanding the framework beyond traditional visual SLAM to include scene understanding and non-rigid tracking, directly addressing the growing need for objective, comparable benchmarks in a maturing field. This work has become a critical tool for researchers and engineers, enabling rigorous assessment of performance across diverse hardware and algorithmic configurations. O'Boyle's broader impact is reflected in his extensive publication record and leadership in the compiler and runtime systems community, where his contributions to automated tuning and domain-specific languages have shaped modern high-performance computing. His dedication to reproducibility and systematic evaluation continues to influence how complex robotic vision challenges are tackled.
Research Focus
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Top Papers
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