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--- roberto.alfieri:pub:vectorization [13/06/2017 19:49]
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+++ roberto.alfieri:pub:vectorization [14/06/2017 11:30] (versione attuale)
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@@ Linea 1: / Linea 1: @@
 ====== Vectorization ======
+[[ http://www.training.prace-ri.eu/uploads/tx_pracetmo/intel_mic_optimization.pdf | Vectorization and Code Optimization ]]
 Processor peak performance includes the speed-up provided by the vector instructions,
@@ Linea 15: / Linea 18: @@
-Auto-vectorization is the easiest and more portable way to get vectorization , but not all loops can be vectorized.
+Auto-vectorization is the easiest and more portable way to get vectorization.
+The compiler recognize several vectiorization options.
+Main vectorization options:
+^     ^  Intel compiler   ^
+^ KNL      | -xMIC-AVX512  |
+^ BDW      | -xCORE-AVX2   |
+^ Disable  | -no-vec       |
+Not all loops can be vectorized:
 Some examples:
-  *
+  * Loop with dependencies between iterations
+<code>
+for (i=1; i<MAX; i++) {
+   d[i] = e[i] – a[i-1];
+   a[i] = b[i] + c[i];
+}
+</code>
+  * Complex loops
+  * Function calls inside the loop:
+      for (int i = 0; i < N; i++)   a[i] = foo(b[i]);
+  * Loops on data that are not aligned in memory

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