JIL Execution Cleanup and Speed Optimizations Part 1 #12895
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@jasonstratton @aparajit-pratap Closing #12153 in favor of this. This removes the commit refactoring |
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| gnode.isActive = false; | ||
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| return reachableGraphNodes.Count; |
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Why don't we keep this return statement, that way we can just say return GraphUpdateImpl(...); above.
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Yes that makes sence. I will update that.
| var stackFrame = new StackFrame(frame); | ||
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| stackFrame = new StackFrame(frame); | ||
| return stackFrame; |
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This is a redundant return as you're returning the stackFrame outside the if block anyway.
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| if (FramePointer - StackFrame.StackFrameSize >= startFramePointer) | ||
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| return false; | ||
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| return true; | ||
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Why can't we simply say:
get { stackFrame == null; }
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I don't want to initialize the stackFrame object unless you actually need a StackFrame object. That is the big time penalty here. All of these essentially copy the implementation from StackFrame here to ovoid the getter for the CurrentStackFrame. On my sample graph it is called that getter is called 21 million times.
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| private int fp; | ||
| private StackFrame stackFrame; |
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rename to currentStackFrame
Purpose
JIL Execution in the VM is responsible for a small but important subset of node execution. While most nodes today are executed via the FFI (Foreign Function Interpreter) mechanisms which invoke C# code, some basic utility methods especially in Math category are written in native design script. This type of function is handled by the
JILFunctionEndPoint. While many of these enhancements are targeted at this execution path, they also yield net improvements to the general execution of all EndPoint types. This is especially true in thePOP_Handler,DEP_Handler,SetupExecutive, andRestoreFromCallmethods within the VM's Executive. For a specific test graph with a mixture of geometry and mathematical operations, these enhancements specifically reduce overallUpdateGraphrun time by 35% (17s to 13s). The net impact is also dramatically reduces temp memory allocation. For the case of this specific test graph the temporary memory allocation associated withUpdateGraphwent from 11.3gb to 3.6gb. In summary this PR optimizes the execution of functions handled via the JIL Endpoint but has a net improvement to all node types.Specifically this PR does the following
Clean up dependency on
CurrentStackFrameproperty ofRuntimeMemory. This getter creates a newStackFrameobject to reference a subset of items at a specific location in the VM's Stack. TheCurentStackFrameproperty is utilized 99% of the time from theIsGlobalScopemethod. This issue isIsGlobalScopecan be called tens of millions of times during a Graph Execution run which creates a newStackFrameobject every time theCurrentStackFrameproperty is referenced. This optimization simply removes the need to allocate a temporaryStackValueobject when the data which is needed can be easily referenced directly from the Stack. This optimization represents the majority of the extra gigabytes of temporary allocation described above in the sample graph performance delta.Refactor
RestoreFromCallto not allocate empty list until after the required check ofruntimeCore.Options.RunMode == InterpreterMode.Expression. This allocation is done repeatedly with no items added to the collection. The call later to check the list via Any() checks can be refactored to a null check.Fast path for
GetGraphNodesAtScopewhen asking for a Invalid ClassIndex and ProcessIndex (ie -1). This is another function that can be called millions of times during a UpdateGraph run. Many calls that are routed through this function are looking for the same item in thegraphNodeMapdictionary. This optimization creates a shortcut when the lookup is asking for the specific case of the invalidClassIndexandProcessIndexthat avoids accessing the object from the dictionary. Note, in the case of this function, caching the previous lookup would not speed up the lookup as the method usage typically alternates between values.Refactor
UpdateGraphto not allocate a temporary list of GraphNodes.Declarations
Check these if you believe they are true
*.resxfilesReviewers
@sm6srw @aparajit-pratap
FYIs
@jasonstratton @mjkkirschner