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Faster type load for scenarios made more common by generic math (#54588)
Change interface map layout in two interesting ways 1. For interface maps defined in System.Private.CoreLib, rely on the C# compiler to prevent any ambiguous duplicates, and to find the full interface expansion, instead of expanding it within the type loader See code marked with #SpecialCorelibInterfaceExpansionAlgorithm - Note that this optimization is only applied for ValueTypes as the presence of inheritance makes the optimization much more complex in many cases, and isn't needed. - This optimization reduces the amount of parsing of the interface implementation table must be done for valuetypes in CoreLib. In particular, with the new interfaces that are added as part of #54650 there is a very deep interface hierarchy that requires a great deal of scanning. As those interfaces are added to all the primitive types, the impact on startup performance is significant and measurable. 2. For interface map expansion that follows the curiously recurring generic pattern, place the open instantiation of the type in the interface map instead of the the exact instantiation, and update all places in the runtime which consider the interface map to deal with that change (Mostly by adding special purpose logic to work with the special marker type in the interface map, but there is also logic to simply force the exact interface type to be loaded, when working with the partially loaded type is not quite good enough, or excessively complex) - This optimization reduces the set of interface types that need to be loaded if they are unused. Of particular benefit are the numerous interfaces associated with the primitive types that are added as part of #54650. Performance of launching an extremely simple .NET process (process with empty main method). Results acquired using local testing on my developer machine, using a simple script that launches the process 500 times in a row. | Before #54650 | After #54650 | After #54650 and #54588 (this pr) | | :-: | :-: | :-: | | 14.1ms | 16.5ms |14.3ms |
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