Apple's Dynamic Caching is one of the most technically dense features the company has ever revealed. Here's our best understanding of it.
During Apple’s “Scary Fast” event, one feature caught my eye unlike anything else: Dynamic Caching. Probably like most people watching the presentation, I had one reaction: “How does memory allocation increase performance?”
Related What exactly is Dynamic Caching? Dynamic Caching is a feature that allows M3 chips to only use the precise amount of memory that a particular task needs. Here’s how Apple describes it in the official press release: “Dynamic Caching, unlike traditional GPUs, allocates the use of local memory in hardware in real time. With Dynamic Caching, only the exact amount of memory needed is used for each task.
This leads to an effect that Nvidia calls the “tail.” A load of shaders execute at once, and then there’s a dip in utilization while more shaders are sent to be executed on threads . This effect was mirrored in Apple’s presentation when it explained Dynamic Caching, as the GPU utilization spiked before bottoming out.
This should, in theory, increase the average utilization of the GPU by allowing more tasks to execute at once, rather than having a smaller set of demanding tasks gobbling up all of the resources available to the GPU. Apple’s explanation focuses on the memory first, making it seem as if memory allocation alone increases performance. From my understanding, it seems that efficient allocation allows more shaders to execute at once, which would then lead to an increase utilization and performance.
It appears Apple is targeting this type of branching with Dynamic Caching, allowing the GPU to only use the resources it needs rather than them going to waste. It’s possible the feature could have implications elsewhere, but it’s not clear where and when Dynamic Caching kicks in while a GPU is executing its tasks.
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