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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vieira Dos Santos, P. Alves, J.C. Canas Ferreira, J. |
| Copyright Year | 2015 |
| Description | Author affiliation: Fac. of Eng., Univ. of Porto, Porto, Portugal (Vieira Dos Santos, P.; Alves, J.C.; Canas Ferreira, J.) |
| Abstract | Solving complex optimization problems with genetic algorithms (GAs) with custom computing architectures is a way to improve the execution time of this metaheuristic, which is known to consume considerable amounts of time to converge to final solutions. In this work, we present a scalable computing array architecture to accelerate the execution of cellular GAs (cGAs), a variant of genetic algorithms which can conveniently exploit the coarse-grain parallelism afforded by custom parallel processing. The proposed architecture targets Xilinx FPGAs and is used as an auxiliary processor of an embedded CPU (MicroBlaze). To handle different optimization problems, a high-level synthesis (HLS) design flow is proposed where the problem-dependent operations are specified in C++ and synthesised to custom hardware, thus requiring a minimum knowledge of digital design for FPGAs. The minimum energy broadcast (MEB) problem in wireless ad hoc networks is used as a case study. An existing software implementation of a GA to solve this problem is ported to the proposed computing array to demonstrate its effectiveness and the HLS-based design flow. Implementation results in a Virtex-6 FPGA show significant speedups, while finding solutions with improved quality. |
| Starting Page | 9 |
| Ending Page | 16 |
| File Size | 195926 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781467380355 |
| DOI | 10.1109/DSD.2015.81 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-26 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic algorithms Optimization Sociology Statistics Arrays Hardware |
| Content Type | Text |
| Resource Type | Article |
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