Visualizing computationalprocesses of optimization passes helps to reason about, and to gain insight into, the inner workings of the optimization passes. In this paper, we visualize the computationalprocesses of two...
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ISBN:
(纸本)9780769546001
Visualizing computationalprocesses of optimization passes helps to reason about, and to gain insight into, the inner workings of the optimization passes. In this paper, we visualize the computationalprocesses of two procedural abstraction passes. We modified two procedural abstraction post pass optimizers to visualize for each the difference in machine code before and after optimization by drawing abstracted fragments in the original code. We then explain how the generated visualizations aid in better understanding the optimization passes and eventually improve them.
Visualizing impacts of an optimization pass helps to reason about, and to gain insight into, the inner workings of the optimization pass. In this paper, we visualize the impacts of two procedural abstraction passes. F...
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Visualizing impacts of an optimization pass helps to reason about, and to gain insight into, the inner workings of the optimization pass. In this paper, we visualize the impacts of two procedural abstraction passes. For this, we modified two procedural abstraction post pass optimizers to visualize for each the difference in machine code before and after optimization by drawing abstracted fragments in the original program. We then explain how the generated visualizations aid in better understanding the optimization passes.
There is an active research community concentrating on visualizations of algorithms taught in CS1 and CS2 courses. These visualizations can help students to create concrete visual images of the algorithms and their un...
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There is an active research community concentrating on visualizations of algorithms taught in CS1 and CS2 courses. These visualizations can help students to create concrete visual images of the algorithms and their underlying concepts. Not only fundamental algorithms can be visualized, but also algorithms used in compilers. visualizations that exist for use in compiler courses are mostly for the frontend, though. In this article we propose the use of visualizations for understanding optimization passes. Optimization passes are complex algorithms that operate on large amounts of code and it is not obvious when, where and how often each optimization is applied to the code. We show in this article how visualizations for a procedural abstraction optimization pass can capture the effect of all instances of this optimization over an entire program to make it easier for students to comprehend procedural abstraction.
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