Routing in quad tree-hypercube networks

Omari, Mahmoud

doi:10.1145/338407.338542

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Prior work that used quad trees for parallelization mainly focused on scheduling ready processes to available hardware resources efficiently; a good example can be found in [ 1 I]. They have also been used as a basis for communication topologies in parallel processors, such as quadtree-based hypercube communication interconnects [8]. Collision detection of moving objects using quad trees, and their three-dimensional extension to oct trees, has also been studied [5,151.…”

Section: Prior Workmentioning

confidence: 99%

Using quad trees for parallelizing conflict detection in a sequential simulation

Wireland¹,

Carnes²,

Schultz³

Proceedings 15th Workshop on Parallel and Distributed Simulation

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This paper describes a parallel proximity detection algorithni and illustrates its application to the probleni of conflict detection in an aviation siniulation. The algorithni invokes a previously designed sequential furiction in parallel, using spatial information acquired during the traversal of a quad tree, to keep the separate invocations of the furiction as independent as possible. The method is generally applicable to any function (not just coriflict detection) whose arguments are spatially organized. Enipirical results show that a single-threaded version of the algorithni sped up the sinidation by 57%, while a four-threaded parallel version extracted 30% of the remaining additional speedup. These results are even niore noteworthy given that the architecture of the sinidation reniains intact; we only replace the irivocatiori niechanisni for one function.

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Section: Prior Workmentioning

confidence: 99%

Using quad trees for parallelizing conflict detection in a sequential simulation

Wireland¹,

Carnes²,

Schultz³

Proceedings 15th Workshop on Parallel and Distributed Simulation

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show abstract

“…Prior work that used quad trees for parallelization primarily focused upon efficiently scheduling ready processes to available hardware; Srisawat and Alexandridis (20M)) present a good example. Quad trees have also been used as a basis for communication topologies in parallel processors, such as quad tree based hypercube communication interconnects (Omri 2000). Collision detection of moving objects using quad trees, and their three dimensional extension to oct~trees, has also been studied (Kitamura et.al.…”

Section: Priorworkmentioning

confidence: 99%

Techniques to enhance performance of an existing aviation simulation

Carnes

Wieland

Proceedings of the Winter Simulation Conference

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Facing a need to run large scenarios on aviation models more quickly than the one to two days currently required, the MITRE Corporation undertook an effort to reduce the execution time of one such simulation. Time and cost constraints prohibited a major rewrite of the almost one million existing lines of code, so only solutions requiring minimal changes to the code base were considered. This paper describes the approaches taken to increase the speed of the original sequential simulation by employing more efficient algorithms and parallel processing technology. Specifically, an implementation of a new technique for parallel proximity detection provided an 80% reduction in the time spent checking for conflicts. In addition, implementation of a thread pool that enables the movement of multiple aircraft in parallel resulted in a 10%-15% reduction in the overall execution time of the simulation. In this paper we report on the design of these techniques and how they were implemented in the simulation.

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Routing in quad tree-hypercube networks

Cited by 2 publications

References 11 publications

Using quad trees for parallelizing conflict detection in a sequential simulation

Using quad trees for parallelizing conflict detection in a sequential simulation

Techniques to enhance performance of an existing aviation simulation

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