Writing a blog post on Data Oriented Design. Any skeptics want to share their worries/criticisms? Looking to address some of the most common ones.
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Continuing: What do you do about task thread affinities (to avoid trashing the cache)? What do you do about thread priorities? Do you have thread group based scheduling? And the biggest question of them all. How do you guarantee thread execution order independence?
Affinities: across two frames, a task may run on two separate threads each frame. Your cache is long gone by then. There are a lot of cases and it’s much more than 1 tweet. The more interesting bit is affinities between tasks inside vs outside the graph.
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Basically, if you have 8 cores and you spawn 32 async load/process tasks, the scheduler will reserve a configurable # of cores for the graph, and allow others to assist on loading. Makes sure the graph never gets choked out (gotta maintain fps).
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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