Value of Dedicated GPU?

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Is there any reason to think that a dedicated GPU will increase the speed of Mindmanager 2016 for very large, complex maps (5000 topics). Moving a topic with hundreds of subtopics can take 5 to 10 seconds. There's no reason to think that the dGPU would help given that there's no 3D, etc., but I wanted to see if anyone had real-world experience. (And I do have reasons why this can't be split up into multiple smaller maps because the multi-window function is still inadequate.)
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jerryk

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Posted 3 years ago

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Nick Duffill, Champion

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This is a good question. I don't know the technical answer, but if I had to guess it would be no. Rendering maps does not really need many special graphics capabilities. It is probably the scale of the data model behind it that makes the most difference, so more RAM or a SSHD may make a bigger difference.

But most people (probably including vendors) will be asking "Why on earth have a map of 5000 topics in the first place? That's not mind mapping". They are right, it is a different application altogether - the only common part is the tree structure. An expansible tree is the most convenient way to model large amounts of detail in a spatial workspace. It has no direct competitors. However the mind mapping legacy has held back developers from devising effective solutions to the large map problem.
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jerryk

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Insightful comment. Serious project and knowledge management requires the map to scale. The XML format without real-time indexing of topic (much less text note) content doesn't seem well-suited to keep up. But no competitor product seems to be able to do this either. A killer app would allow immediate filter-as-you-type outline view of all content, to quickly find content squirreled away in a large knowledge map.