| Energy Efficient High Performance Computing Lab |  |
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OverviewEnergy Efficient High Performance Computing Group is involved with the design and implementation of various high speed and high performance systems which are highly energy efficient. The research spans across multiple levels of abstraction ranging from innovative new process technologies and circuit styles to architectures, algorithms, and software technologies. |
Many Core Processors for Biomedical ImagingThe objective of this project is to develop a many core processor to achieve real-time multimodal ultrasound signal processing with the capability of being programmable. Ultra Low Power DSP for Health Care MonitoringIn this project, we study a platform that can dynamically perform patient multi-parameter monitoring and wireless transmission. The platform is portable and can be reconfigured based on patient physiological characteristics. Machine learning techniques are applied to detect clinical conditions. Two methods for energy efficient and high accuracy detection of epileptic seizures are implemented. The goal is to detect the onset seizure with minimal latency. The methods are tested with patient EEG data. Efficient Compressive Sensing Reconstruction Algorithms and ArchitecturesMore active and completed projects... |
Energy Efficient High Performance Computing Lab |