Limits of Instruction Level Parallelism Critique The paper addresses a very important issue of quantifying the limits of Instruction Level Parallelism that can be exploited from programs and used to run instruction in parallel in a super scalar processor. The paper addresses various ways of exploiting instruction level parallelism and performs a large set of experiments based on 7 architecture models that were rated from poor to perfect based on their ability in hardware to support parallelism. They performed experiments to see how much parallelism can be obtained with the different models for all the existing methods for increasing parallelism. They have their own metric for evaluating parallelism where parallelism =

number of instructions number of clock cycles to execute

Their results show that even the most perfect model with an omniscient compiler where only data dependency is the limiting factor the maximum limit to parallelism is 60. And practically only a parallelism of 4 to 6 can be achieved. Reading through the paper was an experience as it clearly specified all the possible methods to increase instruction level parallelism. I gained a lot of knowledge about the methods used to increase the instruction level parallelism and their drawbacks. One of the concerns that I have is that their metric of parallelism does not convince me. This metric assumes that all the instructions are basic blocks and the latencies of them are same. However if we consider variable latency instructions then this metric will not be the one to choose. The work was done in 1993 so a lot of the coding techniques have changed since then with the advent of object oriented coding such as Java. So these experiments should be redone to see whether the limits proposed in these experiments still hold or not. On the whole the paper presents a very comprehensive analysis of instruction level parallelism and throws light on the drawbacks and the usefulness of all the methods used to exploit ILP

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Limits of Instruction Level Parallelism Critique -

instruction in parallel in a super scalar processor. The paper addresses vari- ous ways of exploiting instruction level parallelism and performs a large set of.

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