SBIR/STTR Research Award

GPU-enhanced HPC Design and Optimization Platform for NaNoOptical Components

Award identifier 88c6abe6fffba691becd71fdcce7df80588d6cbf6c94f3b63d20805c84cc0d29Awarding agency Department of Energy

Award amount

$1,494,282

Program and phase

SBIR · Phase II

Award year

2019

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
IERUS TECHNOLOGIES INC
Proposal award date
2019-05-28
Contract end date
2021-05-27
UEI
H1ZRXJKFZ4K7
Solicitation number
DE-FOA-0001975
Topic code
08a

Research abstract

There is a fundamental need for a high-performance computing approach to computational electromagnetics modeling tools suitable for designing and optimizing high-end nanostructures and photonics devices. Complex geometries and material responses to incident electromagnetic fields require a significant level of computational resources, especially when realistic manufacturing tolerances are incorporated into the overall design process to ensure good as-fabricated performance. Photonics, semiconductor, and telecommunications manufacturers will greatly benefit from a high performance computing design-for-manufacturing electromagnetic simulation platform capable of optimizing geometries while fully accounting for tolerances. This work will develop a high performance computing platform incorporating finite-difference time- domain algorithms capable of designing, simulating, and optimizing the types of devices needed to support new photonics and nanostructure device concepts. The platform will be designed for massively parallel operation across a large number of distributed nodes with GPU-enabled speed optimization. The Phase I efforts focused on development and validation of FDTD simulation algorithms and of HPC approaches necessary to support parallelized implementations. The FDTD algorithms were developed to incorporate complex material responses, including dispersion and nonlinearities, while the HPC development evaluated different parallelization and memory alignment schemes for optimal computational performance. We will develop a HPC-enabled FDTD CEM package and optimize it for massively parallelized distributed operation across a large number of nodes utilizing CPU and GPU speed enhancements, with automated load-balancing techniques based on machine learning concepts.The simulation package will incorporate global optimization algorithms that account for manufacturing tolerances, allowing the platform to act as a complete design-for-manufacturing package. The design platform will be integrated as a commercial product and will be validated by manufacturing and testing components designed using the software. Commercial Applications and Benefits: This design platform will be of immediate use to semiconductor and telecommunications innovators and to photonics design-for-manufacturing companies. It will also enable IERUS to be a design partner to commercial partners operating in these industries, as well as in biophotonics and Department of Defense applications. The platform will be an enabling technology for developing the next generation components required to facilitate the continued telecommunications growth and will greatly enhance electromagnetic simulation capabilities for customers across a wide spectrum of business sizes and applications.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

98 SBIR/STTR records share this UEI (2012–2025). Reported award amounts total $53,981,727. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration

Agency intelligence

Department of Energy

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