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CUDA Part F: Kernel Optimizations: Shared Memory Accesses; Peter Messmer (NVIDIA)
Автор: quirk meze
Загружено: 2017-12-23
Просмотров: 289
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Programming for GPUs Course: Introduction to OpenACC 2.0 vesves CUDA 5.5 - ember 4-6, 2017.
Programming for GPUs Course: Introduction to OpenACC 2.0 vesves CUDA 5.5 - ember 4-6, 2017.
Join Chris Mason, Product Manager at Acceleware, and learn how to optimize your algorithms for NVIDIA GPUs. This informative webinar provides an overview of the improved analysis performance.
In this tute well use a technique called blocking to finally fulfill Porky Waters tall order! Blocking is a technique where blocks of data are copied from global memory to shared memory,.
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