Download Analysis of Cache Performance for Operating Systems and by Agarwal PDF

By Agarwal

As we proceed to construct quicker and speedy. er desktops, their functionality is be­ coming more and more depending on the reminiscence hierarchy. either the clock pace of the computing device and its throughput in step with clock count seriously at the reminiscence hierarchy. The time to complet. e a cache acce88 is oft. en the issue that det. er­ mines the cycle time. The effectiveness of the hierarchy in retaining the typical price of a reference down has an incredible influence on how shut the sustained according to­ formance is to the height functionality. Small alterations within the functionality of the reminiscence hierarchy reason huge alterations in total process functionality. The powerful progress of ruse machines, whose functionality is extra tightly coupled to the reminiscence hierarchy, has created expanding call for for top functionality reminiscence structures. This development is probably going to speed up: the advancements in major reminiscence functionality can be small in comparison to the advancements in processor functionality. This distinction will result in an expanding hole among prOCe880r cycle time and major reminiscence acce. time. This hole needs to be closed through bettering the reminiscence hierarchy. computing device architects have attacked this hole through designing machines with cache sizes an order of significance greater than these showing 5 years in the past. Microproce880r-based upward push structures now have caches that rival the scale of these in mainframes and supercomputers.

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Additional info for Analysis of Cache Performance for Operating Systems and Multiprogramming

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Since trace-driven simulation was the most popular method for cache evaluation, several researchers investigated methods to make it more efficient. , a cache backed by the main memory) against repeated runs of the same set of address traces. These evaluations were time consuming for reasonable length traces. Mattson, Gecsei, Slutz, and Traiger [52] described new and efficient methods for determining the performance of a large class of multi-level storage systems. The above techniques allowed the evaluation of several caches in a single run through the trace; similar ideas also formed the basis of a number of useful techniques for reducing simulation time in examining a single level in the memory hierarchy.

Therefore, if more detailed results are needed, simulations can be' carried out to fine-tune the cache organization. There are added advantages to having a simple model for cache behavior. For example, an understanding of the exact dependence of cache miss rate on program and workload parameters can identify those aspects of program behavior where effort would be best justified to improve cache performance. Cheriton et. al. 1. Motivation and Overview 33 in conjunction with program restructuring to exploit the increased block sizes, could yield significant performance benefits.

Ts of real working systems often display a different behavior than what is predicted using simulation driven by these traces. The cause of this anomaly can often be found in address traces that are not representative of real working environments. Clearly, there is a need for traces of high integrity. 2 Tracing Using Microcode The basic idea behind Address Tracing Using Microcode (ATUM) is to do the tracing "below" the operating system - in microcode. By making minor changes to the existing microcode of a machine, a trace of all addresses that are touched by the processor can be stashed away in a reserved area of main memory, and periodically written out to disk or tape.

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