Update README.md
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@@ -14,6 +14,7 @@ It contains the following streaming kernels with corresponding data access patte
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* striad (L3, S1, WA): Schoenauer triad - `a = b + c * d`.
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* sdaxpy (L3, S1): Schoenauer triad without write allocate - `a = a + b * c`.
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As added benefit the code is a blueprint for a minimal benchmarking application with a generic makefile and modules for aligned array allocation, accurate timing and affinity settings. Those components may be used standalone in your own code project.
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## Build
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