Physical
Computation
Laboratory

We explore fundamental methods to use an understanding of the physical world to enable efficient computation that interacts with nature.

Physical Computation Laboratory

Recent Publications

Synthesizing Compact Hardware for Accelerating Inference from Physical Signals in Sensors

Vasileios Tsoutsouras, Max Vigdorchik, and Phillip Stanley-Marbell. arXiv.      
Members Public

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.      
Members Public

Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation
Payload-Mass-Aware Trajectory Planning on Multi-User Autonomous Unmanned Aerial Vehicles

Vasileios Tsoutsouras, Joseph Story, and Phillip Stanley-Marbell. arXiv      
Members Public

Payload-Mass-Aware Trajectory Planning on Multi-User Autonomous Unmanned Aerial Vehicles
Evaluating RISC-V Instructions Natively with Narvie (Poster)

H. Sarson, R. Voo, and P. Stanley-Marbell, EuroSys 2019.      
Members Public

Evaluating RISC-V Instructions Natively with Narvie (Poster)