- author = "Bobby R. Bruce",
- title = "Automatically Exploring Computer System Design Spaces",
- booktitle = "GI @ GECCO 2022",
- year = "2022",
- editor = "Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke",
- pages = "1926--1927",
- address = "Boston, USA",
- publisher_address = "New York, NY, USA",
- month = "9 " # jul,
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, search, computer architecture, ISA, gem5",
- isbn13 = "978-1-4503-9268-6/22/07",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Bruce_2022_GI.pdf",
-
DOI = "
10.1145/3520304.3534021",
-
slides_url = "http://geneticimprovementofsoftware.com/slides/gi2022gecco/bruce-automatically-exploring-computer-gi-gecco-22.pdf",
- size = "2 pages",
- abstract = "While much research has focused on using search to optimize software, it is possible to use these same approaches to optimise other parts of the computer system. With decreased costs in silicon customisation, and the return of centralized systems carrying out specialized tasks, the time is right to begin thinking about tools to optimise systems for the needs of specific software targets. In the approach outlined, the standard Genetic Improvement process is flipped with source code considered static and the remainder of the computer system altered to the needs of the software. The project proposed is preliminary research into incorporating grammar-based GP with an advanced computer architecture simulator to automatically design computer systems. I argue this approach has the potential to significantly improve the design of computer systems while reducing manual effort.",
-
notes = "http://geneticimprovementofsoftware.com/events/gecco2022
GECCO-2022 A Recombination of the 31st International Conference on Genetic Algorithms (ICGA) and the 27th Annual Genetic Programming Conference (GP)",
