In the never-ending quest for higher performance, CPUs become faster and faster. Processor resources, however, are generally underutilized by many applications. Intel's Hyper-Threading Technology is developed to resolve this issue. This new technology allows a single processor to manage data as if it were two processors by executing data instructions from different threads in parallel rather than serially. Processors enabled with Hyper-Threading Technology can greatly improve the performance of applications with a high degree of parallelism. However, the potential gain is only obtained if an application is multithreaded, by either manual, automatic, or semiautomatic parallelization techniques. This paper presents the compiler techniques of OpenMP pragma- and directive-guided parallelization developed for the high-performance Intel C++/Fortran compiler.
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