Hardware

Research Theme: Low-Power and Energy-Scavenged Research Hardware Platforms for Sensor-Driven Systems (Warp, Lax, and Glaux Hardware Platforms)
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Research Theme: Low-Power and Energy-Scavenged Research Hardware Platforms for Sensor-Driven Systems (Warp, Lax, and Glaux Hardware Platforms)
Synthesizing Compact Hardware for Accelerating Inference from Physical Signals in Sensors

Vasileios Tsoutsouras, Max Vigdorchik, and Phillip Stanley-Marbell. arXiv.      
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Synthesizing Compact Hardware for Accelerating Inference from Physical Signals in Sensors
Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation

P. Stanley-Marbell and M. Rinard, IEEE Micro, 2020.      
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Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation
Parallelism, Performance, and Energy-Efficiency Tradeoffs for In Situ Sensor Data Processing

Phillip Stanley-Marbell. IEEE Embedded Systems Letters      
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Parallelism, Performance, and Energy-Efficiency Tradeoffs for In Situ Sensor Data Processing