Chirayu Garg – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2024-10-28T18:10:57Z http://www.open-lab.net/blog/feed/ Chirayu Garg <![CDATA[Simplifying GPU Application Development with Heterogeneous Memory Management]]> http://www.open-lab.net/blog/?p=69542 2023-09-13T17:07:34Z 2023-08-22T17:00:00Z Heterogeneous Memory Management (HMM) is a CUDA memory management feature that extends the simplicity and productivity of the CUDA Unified Memory programming...]]>

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]]> 0 Chirayu Garg <![CDATA[Improving GPU Memory Oversubscription Performance]]> http://www.open-lab.net/blog/?p=37205 2022-08-21T23:52:39Z 2021-10-05T23:29:05Z Since its introduction more than 7 years ago, the CUDA Unified Memory programming model has kept gaining popularity among developers. Unified Memory provides a...]]>

Since its introduction more than 7 years ago, the CUDA Unified Memory programming model has kept gaining popularity among developers. Unified Memory provides a simple interface for prototyping GPU applications without manually migrating memory between host and device. Starting from the NVIDIA Pascal GPU architecture, Unified Memory enabled applications to use all available CPU and GPU memory…

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]]> 4 Chirayu Garg <![CDATA[Accelerating Wide & Deep Recommender Inference on GPUs]]> http://www.open-lab.net/blog/?p=16105 2024-10-28T18:10:57Z 2019-12-18T03:00:44Z Recommendation systems drive engagement on many of the most popular online platforms. As the growth in the volume of data available to power these systems...]]>

Recommendation systems drive engagement on many of the most popular online platforms. As the growth in the volume of data available to power these systems accelerates rapidly, data scientists are increasingly turning from more traditional machine learning methods to highly expressive deep learning models to improve the quality of their recommendations. Google’s Wide & Deep architecture has emerged…

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