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Depending on each application, developers can refer to the following topics which can be useful for their applications.
We need to recompile it without the offload option for the KNL processor:. This document shows the basic changes the developer will have to make, and does not focus on optimization. We can take advantage of AVX by recompiling the application as shown below:.
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We can take advantage of AVX by recompiling the application as shown below: The KNL processor can be booted as a host processor: In the KNL-F processor i.
To use Intel Cilk Plus, the header file cilk. For more complete information about compiler optimizations, see our Optimization Notice. Vector output resulting from shuffle data for pattern ‘AAAA’: Vector output resulting from shuffle data for pattern ‘ABCD’: To use OpenMP pragmas, the command line argument —openmp is needed and the header file omp.
Appendix A shows a simple program using different types of shuffle and how multiple intrinsics are compiled with AVX First, source the environment variables as usual: At the time this document was written, KNL hardware was not yet released. The current SDE version 7. For help on code generation, from the command prompt type.
Porting Applications from Knights Corner to Knights Landing
Finally, use the sde to emulate a knl platform: To install the SDE, developers can download the kit at https: 009 example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms:. The SDE supports a mix histogram tool, which can generate the instruction mix histogram.
You may refer to the following document for information on different optimization techniques including prefetching data: There are three mode of operations with KNC: To run an application on the KNL processor, we just launch the application directly in the processor; the micnativeloadex tool is not necessary anymore.
Number of Target devices installed: The below example shows how to allocate and align data to byte in memory. Optimization methods that benefit applications for KNC should also apply to the KNL processor, although some minor changes will probably be required.
For example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms: To run a native KNC application, the micnativeloadex tool can be used. Appendix C shows a MPI sample code that uses intrinsics to mimic multiplication.
Therefore, if your application uses KNC intrinsics, you may refer to the above documents to check whether or not those intrinsics are available for KNL.
Note that building applications for the KNL processor is lightly different than building it for a traditional as mentioned earlier. This document highlights these differences. Therefore, the following keyword extensions are not applicable in a KNL processor environment: KNL has better hardware prefetching, and therefore less need for software prefetching knd.
With limited support, MKL MKL code will be then dispatched automatically. Appendix B shows a program using the offload model on KNC.
Porting Applications from Knights Corner to Knights Landing | Intel® Software
Cluster applications also need fabric scaling. Developers can find more information about AVX in the following documents: The top 20 basic blocks are always printed in the output file by default.
For information on how to read knnc instruction mix histogram report, please refer to this white paper https: Set the path to the SDE: As such, there is no need to offload.
It is assumed that developers are already familiar with KNC.