- author = "Jhe-Yu Liou",
- title = "Automatic Program Optimization by Semantic Relaxation for Parallel Processing Accelerators",
- school = "Arizona State University",
- year = "2023",
- address = "USA",
- month = dec,
- keywords = "genetic algorithms, genetic programming, genetic improvement, GPU",
-
URL = "
https://www.proquest.com/openview/3d3600d8ed0e1614c646341d1a436082/1",
-
URL = "
https://graduation.asu.edu/sites/g/files/litvpz3431/files/2024-12/ASU_FALL2023_FinalWEB_Book2_12.5.24.pdf",
- abstract = "Graphic Processing Units (GPUs) have become a key enabler of the big-data revolution, functioning as defacto co-processors to accelerate large-scale computation. As the GPU programming stack and tool support have matured, the technology has also become accessible to programmers. However, optimizing programs to run efficiently on GPUs requires developers to have both detailed understanding of the application logic and significant knowledge of parallel programming and GPU architectures.",
-
notes = "ProQuest 2023.30695616
Supervisors: Carole-Jean Wu, Stephanie Forrest",
