Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Crary:2023:EuroGP,

• author = "Christopher Crary and Wesley Piard and Greg Stitt and Caleb Bean and Benjamin Hicks",
• title = "Using {FPGA} Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies",
• booktitle = "EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming",
• year = "2023",
• month = "12-14 " # apr,
• editor = "Gisele Pappa and Mario Giacobini and Zdenek Vasicek",
• series = "LNCS",
• volume = "13986",
• publisher = "Springer Verlag",
• address = "Brno, Czech Republic",
• pages = "182--197",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Tree-based genetic programming, Field-programmable gate arrays, Hardware acceleration",
• isbn13 = "978-3-031-29572-0",
• URL = "https://rdcu.be/c8UYC",
• DOI = "doi:10.1007/978-3-031-29573-7_12",
• size = "16 pages",
• abstract = "we explore the prospect of accelerating tree-based genetic programming (TGP) by way of modern field-programmable gate array (FPGA) devices, which is motivated by the fact that FPGAs can sometimes leverage larger amounts of data/function parallelism, as well as better energy efficiency, when compared to general-purpose CPU/GPU systems. we introduce a fixed-depth, tree-based architecture capable of evaluating type-consistent primitives that can be fully unrolled and pipelined. The current primitive constraints preclude arbitrary control structures, but they allow for entire programs to be evaluated every clock cycle. Using a variety of floating-point primitives and random programs, we compare to the recent TensorGP tool executing on a modern 8 nm GPU, and we show that our accelerator implemented on a 14 nm FPGA achieves an average speedup of 43 times. When compared to the popular baseline tool DEAP executing",
• notes = "Part of \cite{Pappa:2023:GP} EuroGP'2023 held in conjunction with EvoCOP2023, EvoMusArt2023 and EvoApplications2023",

}

Genetic Programming entries for Christopher C Crary Wesley Piard Greg Stitt Caleb Bean Benjamin Hicks

Citations