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To use Intel Cilk Plus, the header file cilk.

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We need to recompile it without the offload option for the KNL processor: This document highlights these differences. This restriction will be removed in MKL The below example shows how to allocate and align data to byte in memory. This tool detects all dependent libraries, then transfers the native application and all dependent libraries to the coprocessor and finally runs it on the coprocessor.

The top 20 basic blocks are always printed in the output file by default. It is assumed that developers are already familiar with KNC. Depending on each application, developers can refer to the following topics which can be useful for their applications.

Appendix A shows a simple program using different types of shuffle and how multiple intrinsics are compiled with AVX To install the SDE, developers can download the kit at https: This document shows the basic changes the developer will have to make, and does not focus on optimization.


Set the path to the SDE: KNL has better hardware prefetching, and therefore less need for software prefetching i. Therefore, the following keyword extensions are not applicable in a KNL processor environment: However, there are some minor differences compared to KNC: However, since the application is running on a host the KNL processorall environment variables are set for inc host and the MIC prefix is not needed anymore. Optimization methods that benefit applications for KNC should also apply to khc KNL processor, although some minor changes will probably be required.

Porting Applications from Knights Corner to Knights Landing

To use KNL effectively, applications should effectively use VPU instructions on vector data, good locality of reference, and utilizes caches well in its core computations. The SDE supports a mix histogram tool, which can generate the instruction mix histogram.

Appendix B shows a program using the offload model on KNC. In the KNL-F processor i. At the time this document was written, KNL hardware was not yet released. For more complete information about compiler optimizations, see our Optimization Notice.

There are three mode of operations with KNC: Appendix C shows a MPI sample code that uses intrinsics to mimic multiplication.

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For help on code generation, from the command prompt type. The KNL processor can be booted as a host processor: As such, there is no need to offload. With limited support, MKL We can take advantage of AVX by recompiling the application as shown below:.


MKL code will be then dispatched automatically. 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. Share Tweet Share Send.

Developers can find more information about AVX in the following documents: Cluster applications also need fabric scaling. Vector output resulting from shuffle data for pattern ‘ABCD’: First, source the environment variables as usual: To run a native KNC application, the micnativeloadex tool can be used.

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Although SIMD instructions may be called via inline assembly code or compiler intrinsics, they are platform dependent and unlikely to work between different platforms.

We can take advantage of AVX by recompiling the application as shown below: This section provides suggestions for developers who are porting their KNC coprocessor applications to the KNL processor. Finally, use the sde to emulate a knl platform: Vector output resulting from permute data for pattern ‘ABCD’: Number of Target devices installed: Finally, use the sde to emulate a knl platform:.

For example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms:.