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Mixing and Matching Tasks

You can combine the data parallel and task parallel patterns. Continuing with the display/update example, suppose that you can parallelize the update operation, but not the display operation. Then you could execute the display operation in parallel with multiple tasks from the update operation. Consider this C/C++ code:
initialize(data); while (!done) {     old_data = data;     ANNOTATE_SITE_BEGIN(sitename);     ANNOTATE_TASK_BEGIN(task_display);     display_on_screen(old_data);     ANNOTATE_TASK_END();     update(data);     ANNOTATE_SITE_END(); } display_on_screen(data) {     . . . } update(data) {     for (each block of data) {         ANNOTATE_TASK_BEGIN(task_update);         update the block of data;         ANNOTATE_TASK_END();     } }

Product and Performance Information

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Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804