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

L24: Parallelism, performance, energy efficiency, and cost trade-offs in future sensor platforms

Phillip Stanley-Marbell. ACM Transactions on Embedded Computing Systems.      
Members Public

L24: Parallelism, performance, energy efficiency, and cost trade-offs in future sensor platforms
The Influence of Transistor Properties on Performance Metrics and the Energy-Efficiency of Parallel Computations

Phillip Stanley-Marbell. IBM Research Reports.      
Members Public

The Influence of Transistor Properties on Performance Metrics and the Energy-Efficiency of Parallel Computations
ExaBounds—Better-than-back-of-the-envelope Analysis for Large-Scale Computing Systems

Phillip Stanley-Marbell. IBM Research Reports.      
Members Public

ExaBounds—Better-than-back-of-the-envelope Analysis for Large-Scale Computing Systems
Language Definition for a Notation of Computational Problems

Rik Jongerius and Phillip Stanley-Marbell. IBM Research Reports, 2012.      
Members Public

Language Definition for a Notation of Computational Problems