- author = "Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan",
- title = "Multi-core GE: automatic evolution of CPU based multi-core parallel programs",
- booktitle = "GECCO 2014 student workshop",
- year = "2014",
- editor = "Tea Tusar and Boris Naujoks",
- isbn13 = "978-1-4503-2881-4",
- keywords = "genetic algorithms, genetic programming, grammatical evolution",
- pages = "1041--1044",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Vancouver, BC, Canada",
-
URL = "
http://doi.acm.org/10.1145/2598394.2605670",
-
DOI = "
doi:10.1145/2598394.2605670",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
-
abstract = "We describe the use of on-chip multiple CPU
architectures to automatically evolve parallel computer
programs. These programs have the capability of
exploiting the computational efficiency of the modern
multi-core machines.
This is significantly different from other parallel EC approaches because not only do we produce individuals that, in their final form, can exploit parallel architectures, we can also exploit the same parallel architecture during evolution to reduce evolution time.
We use Grammatical Evolution along with OpenMP specific grammars to produce natively parallel code, and demonstrate that not only do we enjoy the benefit of final individuals that can run in parallel, but that our system scales effectively with the number of cores.",
- notes = "Also known as \cite{2605670} Distributed at GECCO-2014.",
