New DLI Training: Accelerating CUDA C++ Applications with Multiple GPUs – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Nefi Alarcon <![CDATA[New DLI Training: Accelerating CUDA C++ Applications with Multiple GPUs]]> https://news.www.open-lab.net/?p=18557 2022-09-30T17:47:53Z 2020-10-21T22:37:43Z Computationally-intensive CUDA C++ applications in high performance computing, data science, bioinformatics, and deep learning can be accelerated by using...]]> Computationally-intensive CUDA C++ applications in high performance computing, data science, bioinformatics, and deep learning can be accelerated by using...

Computationally-intensive CUDA C++ applications in high performance computing, data science, bioinformatics, and deep learning can be accelerated by using multiple GPUs, which can increase throughput and/or decrease your total runtime. When combined with the concurrent overlap of computation and memory transfers, computation can be scaled across multiple GPUs without increasing the cost of��

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