ARCS'12 Proceedings of the 25th international conference on Architecture of Computing Systems
Self-stabilizing iterative solvers
ScalA '13 Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
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We present a low power probabilistic floating point multiplier. Probabilistic computation has been shown to be a technique for achieving energy efficient designs. As best known to the authors, this is the first attempt to use probabilistic digital logic to attain low power in a floating point multiplier. To validate the approach, probabilistic multiplications are introduced in a ray tracing algorithm used in computer graphics applications. It is then shown that energy savings of around 31% can be achieved in a ray tracing algorithm's floating point multipliers with negligible degradation in the perceptual quality of the generated image.