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GTC On-Demand

Performance Optimization
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Everything You Need to Know About Unified Memory
Nikolay Sakharnykh (NVIDIA)
We'll cover all the things you need to know about Unified Memory: fundamental principles, important use cases, advances in the latest GPU architectures, HMM and ATS details, performance considerations and optimization ideas, and new application resu ...Read More
We'll cover all the things you need to know about Unified Memory: fundamental principles, important use cases, advances in the latest GPU architectures, HMM and ATS details, performance considerations and optimization ideas, and new application results, including data analytics and deep learning. 2018 is going to be the year of Unified Memory. Both HMM and ATS will be available and developers will start using the true Unified Memory model with the system allocator "the way it's meant to be played." We'll discuss all the caveats and differences between cudaMallocManaged and malloc. A big part of the talk will be related to performance aspects of Unified Memory: from migration throughput optimizations to improving the overlap between kernels and prefetches.  Back
 
Keywords:
Performance Optimization, Programming Languages, HPC and Supercomputing, GTC 2018 - ID S8430
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