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Advanced algorithmic techniques for GPUs

Advanced algorithmic techniques for GPUs

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Lecture Details 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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Expiry period Lifetime
Made in English
Last updated at Mon Jul 2022
Level
Beginner
Total lectures 6
Total quizzes 0
Total duration 05:35:14 Hours
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Short description Lecture Details 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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