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We need to recompile it without the offload option for the KNL processor: To run an application on the KNL processor, we just launch the application directly in the processor; the micnativeloadex tool is not necessary anymore.
To run a native KNC application, the micnativeloadex tool can be used.
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MKL code will be then dispatched automatically. Appendix C shows a MPI sample code that uses intrinsics to mimic multiplication.
KNL has better hardware prefetching, and therefore less need for software prefetching i. First, source the environment variables as 0900 Appendix B shows a program using the offload model on KNC.
009 For example, if you want to run a binary program, called application, on the KNL platform, and output the first 50 instruction forms:. Optimization methods that benefit applications for KNC should also apply to the KNL processor, although some minor changes will probably be required.
Porting Applications from Knights Corner to Knights Landing
Knf below example shows how to allocate and align data to byte in memory. In the KNL-F processor i. However, there are some minor differences compared to KNC: To install the SDE, developers can download the kit at https: 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. For help on code generation, from the command prompt type. Note that building applications for the KNL processor is lightly different than building it for a traditional as mentioned earlier.
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. Set the path to the SDE: Share Tweet Share Send.
0090 of Target devices installed: 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. 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. Developers can find more information about AVX in the following documents: We can take advantage of AVX by recompiling the application as shown below: Finally, use the sde to emulate a knl platform:.
Depending on each application, developers can refer to the following topics which can be useful for their applications.
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There are three mode of operations with KNC: This section provides suggestions for developers who are porting their KNC coprocessor applications to the KNL processor. Therefore, the following keyword extensions are not applicable in a KNL processor environment: The top 20 basic blocks are always printed in the output file by default. Finally, kc the sde to emulate a knl platform: Cluster applications also need fabric scaling. Appendix A shows a simple program using different types of shuffle and how multiple intrinsics are compiled with AVX Vector output resulting from multiple input1 and input2: Vector output resulting from shuffle data for pattern ‘ABCD’: