Faculty Fellowship for conducting AI Model Optimization Research for Inference Acceleration in Edge Computing Environments
About the Research
The aim of this research is to develop theoretical and experimental approaches for generalized AI model inference acceleration on resource-constrained heterogeneous edge computing platforms. This research also aims to predict optimal AI model architectures through neural network architecture search (NAS) to achieve expected inference acceleration. The research covers both convolutional neural networks and large language models for their inference acceleration.
This project covers the following research topics:
- Develop mathematical models to understand the trade-off between accuracy, latency, and compression of optimized AI models.
- Investigate state-of-the-art, quantization, model pruning, and other AI model computational complexity reduction approaches for inference acceleration on edge computing platforms with resource constraints.
- Formulate mathematical theoretical foundations and models to guide the optimization process and ensure convergence to optimal solutions while satisfying all constraints.
- Develop layer-wise gradual optimization approaches.
- Curriculum Vitae or Resume
- Three References Forms
- Transcripts
ARD
ARD’s Army Research Directorate focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through its 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.
ARD-RAP
The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
NCCS
Sciences to enable and ensure secure resilient communication networks for distributed analytics in Multi-Domain Operations.
A complete application includes:
Questions about this opportunity?
Please email ARLFellowship@orau.org.