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Computer Architecture

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INTRODUCTION
As computer architectures become increasingly complex, more sophisticated analysis methods and optimization tools are required to harness their full performance. Technologies such as event-based sampling and expert systems are now augmenting traditional methods of performance analysis based upon profile and call graph tools. Understanding the basics of performance analysis, as well as the current state- of-the-art software optimization technologies, enables developers to pinpoint and implement solutions to application performance issues.
One sophisticated processor, the Intel® Pentium® M processor, is growing in embedded application usage due to its high performance and low power utilization. The Intel Pentium M processor features Intel MMX™ and Streaming SIMD Extensions (SSE, SSE2) that enable higher performance through parallel computation. Getting the most out of the processor, however, requires that developers take full advantage of these built-in performance enhancements.
Software optimization technology offered by advanced compilers utilizes the enhancements in Intel Pentium M processors in a fashion conducive to embedded development. Compiler technology provides access to these extensions with low development investment while maintaining backward compatibility and minimal code size, two critical challenges in embedded software development. The key to focusing the optimization process, however, is to perform performance analysis.
Performance analysis is the study of application performance on hardware with the end goal of understanding issues and recommending enhancements. Amdahl’s L aw states that performance improvement is limited by the frequency of execution of the improved region and serves as motivation for the following two key insights of performance analysis:
Optimize the most frequently executed regions - the best return on investment for performance enhancement...
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