KNC – 090 PDF

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Porting Applications from Knights Corner to Knights Landing | Intel® Software

Share Tweet Share Send. To install the SDE, developers can download the kit at https: With limited support, MKL Vector output resulting from shuffle data for pattern ‘ABCD’: Vector output resulting from shuffle data for pattern ‘AAAA’: Developers can find more information about AVX in the following documents: Note that building applications for the KNL processor is lightly different than building it for a traditional as mentioned earlier.

Finally, use the sde to emulate a knl platform: To run an application on the KNL processor, we just launch the application directly in the processor; the micnativeloadex tool is not necessary anymore. We can take advantage of AVX by recompiling the application as shown below: 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 SDE supports a mix histogram tool, which can generate the instruction mix histogram. KNL has better hardware prefetching, and therefore less need for software prefetching i.

This document shows the basic changes the developer will have to make, and does not focus on optimization. Cluster applications also need fabric scaling. Finally, use the sde to emulate a knl platform:. The top 20 basic blocks are always printed in the output file by default. It is assumed that developers are already familiar with KNC. However, there are some minor differences compared to KNC: Optimization methods that benefit applications for KNC should also apply to the KNL processor, although some minor changes will probably be required.

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We need to recompile it without the offload option for the KNL processor:. Vector output resulting from permute data knd pattern ‘ABCD’: Appendix A shows a simple program using different types of shuffle and how multiple intrinsics are compiled with AVX Depending on each application, developers can refer to the following topics which can be useful for their applications.

At the time this document was written, KNL hardware was not yet released. To use OpenMP pragmas, the command line argument —openmp is needed and the header nkc omp. 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. The KNL processor can be booted as a host onc The below example shows how to allocate and align data to byte in memory.

Vector output resulting from multiple input1 and input2: The current SDE version 7. This section provides suggestions for developers who are porting their KNC coprocessor ,nc to the KNL processor.

This restriction will be removed in MKL For example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms:. We need to recompile it without the offload option for the KNL processor: To use KNL effectively, applications should effectively kmc VPU instructions on vector data, good locality of reference, and utilizes caches well in its core computations.

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You may refer to the following document for information on different optimization techniques including prefetching data: However, since the application is running on a host the KNL processorall environment variables are set for the host and the MIC prefix is not needed anymore.

As such, there is no need to offload.

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To run a native KNC application, the micnativeloadex tool can be used. Number of Target devices installed: First, source the environment variables as usual: For information on how to read the instruction mix histogram report, please refer to this white paper https: To use Intel Cilk Plus, the header file cilk. For example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms: In the KNL-F processor i.

We can take advantage of Mnc by recompiling the application as shown below:. Appendix B shows a program using the offload model on KNC. This document highlights these differences. MKL code will be then dispatched automatically.

Although SIMD instructions may be called via inline assembly code or compiler intrinsics, they are platform dependent and unlikely to work between different platforms. Therefore, if your application uses KNC intrinsics, you may refer to the above documents to check whether or not those knnc are available for KNL. For help on code generation, from the command prompt type.