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本帖最后由 codwanwan 于 2013-2-26 12:53 编辑
http://www.neogaf.com/forum/showthread.php?t=515746
Meanwhile on the compute side, AMD’s new Asynchronous Compute Engines serve as the command processors for compute operations on GCN. The principal purpose of ACEs will be to accept work and to dispatch it off to the CUs for processing. As GCN is designed to concurrently work on several tasks, there can be multiple ACEs on a GPU, with the ACEs deciding on resource allocation, context switching, and task priority. AMD has not established an immediate relationship between ACEs and the number of tasks that can be worked on concurrently, so we’re not sure whether there’s a fixed 1:X relationship or whether it’s simply more efficient for the purposes of working on many tasks in parallel to have more ACEs.
One effect of having the ACEs is that GCN has a limited ability to execute tasks out of order. As we mentioned previously GCN is an in-order architecture, and the instruction stream on a wavefront cannot be reodered. However the ACEs can prioritize and reprioritize tasks, allowing tasks to be completed in a different order than they’re received. This allows GCN to free up the resources those tasks were using as early as possible rather than having the task consuming resources for an extended period of time in a nearly-finished state. This is not significantly different from how modern in-order CPUs (Atom, ARM A8, etc) handle multi-tasking.
预计在流处理相同 频率相同的情况下 性能提高30% 8777 8850 8870 到底是那种。 |
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发表于 2013-2-26 13:00 · 广东
