- author = "Christopher Crary and Marina Fernandes and Bogdan Burlacu and Wesley Piard and John Baldwin and Jackson Fugate and Michael Gendreau and Greg Stitt and Wolfgang Banzhaf",
- title = "{FPGA}-Based Streaming Processors for Tree-Based Genetic Programming",
- booktitle = "Genetic Programming Theory and Practice XXII",
- year = "2025",
- editor = "Bogdan Burlacu and Fabricio {Olivetti de Franca} and Alexander Lalejini and Stephen Kelly and Wolfgang Banzhaf",
- series = "Genetic and Evolutionary Computation",
- pages = "59--78",
- address = "Michigan State University, USA",
- month = jun # " 5-7",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-981-95-6397-5",
-
DOI = "
10.1007/978-981-95-6398-2_4",
- abstract = "a specialized processor architecture for program evaluation in tree-based genetic programming is introduced, and we coin the term evolution processing unit (EPU) in order to succinctly refer to evolutionary computation systems built with specialized hardware, rather than with general-purpose CPU/GPU systems. We design our initial EPU for a high-end 7nm field-programmable gate array(FPGA) device, and when compared to prior hardware accelerators, the presented system allows for higher throughput while also being simple and scalable. To provide effective comparisons, we implement a state-of-the-art interpreter for CPU devices, and we leverage a 16-core, 7nm CPU system equipped with AVX2 instructions. Across a set of performance simulations, we find that the EPU is up to faster than the CPU, and faster on average. Overall, our results showcase the potential of FPGA-based GP systems, and they give further motivation for the explorationof EPUs, especially by way of specialized chips, which can have significantly fewer resource constraints when compared to FPGAs",
-
notes = "lightning talk.
published in 2026 after the workshop",
