KNC – 090 PDF

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Finally, use the sde to emulate a knl platform: Appendix B shows a program using the offload model on KNC.

For example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms:. Developers can find more information about AVX in the following documents: Depending on each application, developers can refer to the following topics which can be useful for their applications.

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.

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. For help on code generation, from the command prompt type. However, there are some minor differences compared to KNC: We can take advantage of AVX by recompiling the application as shown below:. KNL has better hardware prefetching, and therefore less need for software prefetching i.

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We need to recompile it without the offload option onc the KNL processor:. This section provides suggestions for developers who are porting their KNC coprocessor applications to the KNL processor. There are three mode of operations with KNC: To use OpenMP pragmas, the command line argument —openmp is needed and the header file omp.

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To run a native KNC application, the micnativeloadex tool can be used. Therefore, if your application uses KNC intrinsics, you may refer to the above documents to check whether or not those intrinsics kn available for KNL.

Number of Target devices installed: The SDE supports a mix histogram tool, which can generate the instruction mix histogram.

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The top 20 basic blocks are always printed in the output file by default. As such, there is no need to offload. We can take advantage of AVX by recompiling the application as shown below: The current SDE version 7.

Appendix A shows a simple program using different types of shuffle and how multiple intrinsics are compiled with AVX Vector output resulting from shuffle data for pattern ‘AAAA’: Note that building applications for the 009 processor is lightly different than building it for a traditional as mentioned earlier. Set the path to the SDE: Vector output resulting from multiple input1 and input2: 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.


This restriction will be removed in MKL The KNL processor can be booted as a host processor: Therefore, the following keyword extensions are not applicable in a KNL processor environment: To use Intel Cilk Plus, the header file cilk.

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 need to recompile it without the offload option for the KNL processor: The below example shows how to allocate and align data to byte in memory. For information on how to read the instruction mix histogram report, please refer to this white paper https: Appendix C shows a MPI sample code that uses intrinsics to mimic multiplication.

Porting Applications from Knights Corner to Knights Landing

With limited support, MKL First, source the environment variables as usual: Optimization methods that benefit applications for KNC should also apply to the KNL processor, although some minor 900 will probably be required. It is assumed that developers are already familiar with KNC.

At the time this document was written, KNL hardware was not yet released.