Abstract
This research investigates dynamic load-balancing mechanisms on a distributed-memory MIMD machine, through the implementation of an application chosen from the computational graphics field (ray-tracing). The application-system performance is compared using user-dependent farmer load-balancing approach and user-transparent, effective and scalable, dynamic load-balancing algorithms. Tasks are generate, at execution time, using a multiple-spawning mechanism. The selected implementation environment is composed of T800 transputers. The implementation of a real application have evidenced the significance of such load-balancing tools regarded to the practicability of the system-level resource management facilities and performance improvement.
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