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

Quantitative analysis of parallelism and data movement properties across the Berkeley computational motifs

Victoria Caparrós Cabezas and Phillip Stanley-Marbell. 8th ACM International Conference on Computing Frontiers (CF '11).      
Members Public

Quantitative analysis of parallelism and data movement properties across the Berkeley computational motifs
Portability in MAC protocol and transceiver software implementations for LR-WPAN platforms

A. Schoofs and P. Stanley-Marbell. Software-Practice and Experience, 2011.      
Members Public

Portability in MAC protocol and transceiver software implementations for LR-WPAN platforms
Parallelism, Performance, and Energy-Efficiency Tradeoffs for In Situ Sensor Data Processing

Phillip Stanley-Marbell. IEEE Embedded Systems Letters      
Members Public

Parallelism, Performance, and Energy-Efficiency Tradeoffs for In Situ Sensor Data Processing
Sal/Svm: an assembly language and virtual machine for computing with non-enumerated sets

Phillip Stanley-Marbell. Virtual Machines and Intermediate Languages (VMIL '10)      
Members Public

Sal/Svm: an assembly language and virtual machine for computing with non-enumerated sets