The additions include ways to learn about the dimension and number of threads and blocks within a thread block or grid group respectively, and are meant to “improve consistency in naming, function scope, and unit dimension and size”. Node parameters are promised to stay the same while the node is disabled.Īnother interesting enhancement comes in the form of new functions for the cooperative groups namespace. Disabled nodes act like empty ones would, though the modification only affects future launches of the graph. Highlights of the release include the GSP driver architecture becoming the default driver mode for Nvidia’s more recent Turing and Ampere GPUs, as well as a new application programming interface that allows to disable kernel nodes of an instantiated graph.
With performance and programming model enhancements in tow, the new version is hoped to support a wider array of HPC and data science applications. The toolkit for Nvidia’s parallel computing platform CUDA recently got updated and is now on version 11.6.
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