Effective Parallel Optimizations with the Intel® Fortran Compiler

  • Overview

The SIMD and multi-core features of modern processors enable large improvements in application performance―but only if the application is effectively optimized for parallel execution. The Intel® Fortran Compiler provides multiple ways to achieve this, from automatic vectorization to explicit SIMD programming and from assisted auto-parallelism to threading with OpenMP*. We’ll discuss the pros and cons of the different approaches, providing with advice and examples interpreted using the compiler’s optimization reports.

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Benchmark results were obtained prior to the implementation of recent software patches and firmware updates intended to address exploits referred to as "Spectre" and "Meltdown". Implementation of these updates may make these results inapplicable to your device or system.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information, see Performance Benchmark Test Disclosure.