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However, as computer architectures are becoming increasingly complex, with more processing cores, more heterogeneous and more distributed, applications compiled for existing machines will not fully utilize the target platform resources, even when binary compatibility is guaranteed, and thus do not run as efficiently as they could.
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As a first step, this code version is compiled and executed on a CPU platform, allowing developers to test the correctness of the application with respect to its specification. This source code captures the algorithmic behavior of the application while being independent of the target platform. Here, we assume as input the application's source code, written in a high-level language such as C/C++, possibly even translated from higher levels of abstraction as described in Chapter 3.
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In Chapter 7, we extend the topic of code retargeting to cover heterogeneous platforms, such as GPUs and FPGAs. In this chapter, we focus exclusively on code retargeting issues in the context of CPU-based architectures and where the application source code is optimized to execute more efficiently on a given platform. Diniz, in Embedded Computing for High Performance, 2017 6.1 Introduction