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Advanced algorithmic techniques for GPUs

Lecture 1: Computational thinking

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This section discusses the particular limitations and constraints of many-core hardware, and which computational patterns are desirable or undesirable, from the architectural point of view. Among the main obstacles to performance, discussion includes: conflicts in critical resources leading to serialization, load imbalance, and memory bandwidth bottlenecks.

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