CMU-CS-06-115
Computer Science Department
School of Computer Science, Carnegie Mellon University



CMU-CS-06-115

Simultaneous Scalability and Security

Umut A. Acar*, Guy E. Blelloch, Kanat Tangwongsan, Jorge Vittes**

March 2006

CMU-CS-06-116.ps
CMU-CS-06-116.pdf


Keywords: Computational geometry, kinetic data structures, kinetic algorithms, self-adjusting computation, convex hulls


Define a static algorithm to be an algorithm that computes some combinatorial property of its input consisting of static, i.e., non-moving, objects. In this paper, we describe a technique for syntactically transforming static algorithms into kinetic algorithms, which compute the statically computed property under motion, a la kinetic data structures. Based on the properties of the transformation technique, we give an algorithm for performing robust motion simulations with fixed-precision floating-point arithmetic. To evaluate the practical effectiveness of the approach, we implement a library for performing the transformation, transform a number of algorithms and give a detailed experimental evaluation. The results show that the technique makes it easy to implement robust kinetic algorithms and delivers good performance in practice.

17 pages

*Toyota Technological Institute of Chicago
**Stanford University


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