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

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
A unified execution model for cloud computing

Eric Van Hensbergen, Noah Paul Evans, and Phillip Stanley-Marbell. ACM SIGOPS Operating Systems Review      
Members Public

A unified execution model for cloud computing
Encoding efficiency of digital number representations under deviation constraints

Phillip Stanley-Marbell. IEEE Information Theory Workshop.      
Members Public

Encoding efficiency of digital number representations under deviation constraints