Massively Parallel MorphoNAS Implementation
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Date
2025
Authors
Medvid, Serhii
Journal Title
Journal ISSN
Volume Title
Publisher
Національний університет "Києво-Могилянська академія"
Abstract
Our GPU-accelerated MorphoNAS (Morphogenetic Neural Architecture Search) enhances the biologically motivated developmental model of the original MorphoNAS, from sequential developmental simulations to large scale parallel simulation. Like the original CPU-based MorphoNAS system, the GPU enhanced version models morphogenesis (neural development) through reaction-diffusion, progenitor differentiation and axon-guided wiring that grow recurrent controllers. Unlike the original CPU-based version, the GPU-based version has the ability to formulate growth and control in parallel execution of thousands of genomes. Through use of sparse, device-resident representations of developmental dynamics and recurrent rollouts, we produce behaviorally equivalent recurrent controllers with up to three orders of magnitude speedup. As a result, we have enabled the possibility of performing evolutionary search over populations of developmental programs, transforming MorphoNAS from a proof-of-concept model of artificial morphogenesis and adaptive architecture discovery to a scalable framework for those objectives.
Description
Keywords
MorphoNAS, artificial morphogenesis, GPU acceleration, massively parallel execution, conference materials
Citation
Medvid S. Massively Parallel MorphoNAS Implementation / Medvid S. // Теоретичні та прикладні аспекти побудови програмних систем : праці 16 Міжнародної науково-практичної конференції, 23-24 листопада 2025 року, Київ / [за заг. ред. М. М. Глибовця, Т. В. Панченка та ін. ; Факультет інформатики Національного університету "Києво-Могилянська академія" та ін.]. - Київ : НаУКМА, 2025. - С. 34-36.