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Dependency Graphs in Compiler Design
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What do dependency graphs illustrate in the context of compiler design?
Dependency graphs visualize dependencies among program entities, typically to identify data dependencies for optimization during compilation.
What are the types of data dependencies represented in dependency graphs?
The three main types are Read After Write (RAW), Write After Read (WAR), and Write After Write (WAW).
Can you name a compiler optimization that relies on dependency graphs?
Loop optimization techniques, like loop unrolling, rely on dependency graphs to understand iterations' dependencies.
Why are dependency graphs crucial for instruction scheduling?
Dependency graphs help determine the correct sequence of instructions that maintains the program's correctness while optimizing for performance.
Describe an anti-dependency in the context of dependency graphs.
An anti-dependency occurs when an instruction needs to read a location before another instruction writes to it, also known as a Write After Read (WAR) dependency.
What role do dependency graphs play in dead code elimination?
Dependency graphs can reveal code that does not affect the program's output (dead code), allowing the compiler to safely remove it.
What tool or technique can generate a dependency graph for a given program?
Compiler analysis tools or various compiler passes, like data flow analysis, can generate dependency graphs.
How do dependency graphs facilitate parallelization?
They show which computations can be performed in parallel without interfering with each other due to data dependencies.
What is a control dependency in dependency graphs?
A control dependency exists between two instructions if the execution of one depends on the result of a conditional statement controlling the other.
How do dependency graphs impact register allocation?
They help the compiler decide which variables can share registers without causing conflicts, thus optimizing the usage of CPU registers.
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