Compiler techniques for ilp

What are the technique used for exposing ILP?
There are two largely separable techniques to exploit ILP: Dynamic and depend on the hardware to locate parallelism.
Static and rely much more on software..
What are the techniques used for exposing ILP?
Example techniques to exploit loop level parallelism: vectorization, data parallel, loop unrolling. 3 types of dependencies: ▶ data dependencies (or true data dependencies), ▶ name dependencies, and ▶ control dependencies.
Dependencies are artifacts of programs; hazards are artifacts of pipeline organization..
What are the two major approaches for ILP?
There are two largely separable techniques to exploit ILP:
Dynamic and depend on the hardware to locate parallelism.Static and rely much more on software..
What is the technique for increasing instruction level parallelism?
Loop unrolling generates more instruction-level parallelism by duplicating loop iterations a number of times equal to the unrolling factor.
The technique increases basic block size by eliminating branch overhead instructions for all iterations but the last..
What is the technique for increasing instruction-level parallelism?
Loop unrolling generates more instruction-level parallelism by duplicating loop iterations a number of times equal to the unrolling factor.
The technique increases basic block size by eliminating branch overhead instructions for all iterations but the last..
Which of the techniques enable to exploit ILP?
Techniques for Exploiting ILP
Superscalar Architecture: Modern processors employ a superscalar architecture that incorporates multiple execution units. Out-of-order Execution: In traditional in-order execution, instructions are executed in the order they appear in the program..
Instruction Level Parallelism (ILP) is used to refer to the architecture in which multiple operations can be performed parallelly in a particular process, with its own set of resources – address space, registers, identifiers, state, and program counters.
Instruction Level Parallelism (ILP) is used to refer to the architecture in which multiple operations can be performed parallelly in a particular process, with its own set of resources – address space, registers, identifiers, state, and program counters._{Sep 20, 2023}
Pipelining can overlap the execution of instructions when they are independent of one another.
This potential overlap among instructions is called instruction-level parallelism (ILP) since the instructions can be evaluated in parallel.

Compiler techniques for ILP

Unroll the loop symbolically
Take independent instructions from consecutive iterations,e.g, reorganized iteration could consist of:
Advantage over unrolling: less code space.
Drawback over unrolling: does not decrease loop overhead.
If load latencies are high, might need to unroll.

Feb 24, 20171. Basic Pipeline Scheduling and Loop Unrolling 2. Summary of the Loop Unrolling and Scheduling Example.

Feb 24, 2017Compiler Techniques for Exposing ILP. 1. Basic Pipeline Scheduling and Loop Unrolling. To avoid a pipeline stall, a dependent instruction

Compiler techniques for ilp

What are the technique used for exposing ILP?

What are the techniques used for exposing ILP?

What are the two major approaches for ILP?

There are two largely separable techniques to exploit ILP:

What is the technique for increasing instruction level parallelism?

What is the technique for increasing instruction-level parallelism?

Which of the techniques enable to exploit ILP?

Techniques for Exploiting ILP