4 papers
Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations
Ardavan Oskooi, Christopher Hogan, Alec M. Hammond +2
We demonstrate neural-network runtime prediction for complex, many-parameter, massively parallel, heterogeneous-physics simulations running on cloud-based MPI clusters. Because ind…
Accelerating Silicon Photonic Parameter Extraction using Artificial Neural Networks
Alec M. Hammond, Easton Potokar, Ryan M. Camacho
We present a novel silicon photonic parameter extraction tool that uses artificial neural networks. While other parameter extraction methods are restricted to relatively simple dev…
Designing Silicon Photonic Devices using Artificial Neural Networks
Alec M. Hammond, Ryan M. Camacho
We develop and experimentally validate a novel neural network design framework for silicon photonics devices that is both practical and intuitive. The framework is applicable to ne…
Error Correction in Structured Optical Receivers
Alec M. Hammond, Ian W. Frank, Ryan M. Camacho
Integrated optics Green Machines enable better communication in photon-starved environments, but fabrication inconsistencies induce unpredictable internal phase errors, making them…