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content/learning-paths/cross-platform/sme/matrix-multiply-example.md

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## Understand the example
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![example image alt-text#center](armds_sme2.png "Figure 1. Debugging the SME2 example in Arm Development Studio")
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![example image alt-text#center](armds_sme2.png "Figure 2. Debugging the SME2 example in Arm Development Studio")
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1. In the Registers view, expand AArch64 > System > ID > ID_AA64PFR1_EL1. Notice the SME bits are set to 2, meaning the SME2 architectural state and programmers model are implemented on this target.
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2. This bit can also be inspected in the Commands view, by entering `output $AArch64::$System::$ID::$ID_AA64PFR1_EL1.SME`. Other bits in other registers may be inspected similarly.

content/learning-paths/cross-platform/sme/sme-intro.md

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The ZA array can also be accessed as tiles. A tile is a square, two-dimensional sub-array of elements within the ZA array.
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A ZA tile can be accessed as vectors of 8-bit, 16-bit, 32-bit, 64-bit, or 128-bit elements, or as horizontal or vertical slices of SVL bits.
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![example image alt-text#center](ZA.png "Figure 1. The ZA storage, shown for SVL=256 bits, organised as 32-bit floats, and the mapping of horizontal and vertical slices to ZA0-3 tiles")
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![example image alt-text#center](ZA.png "Figure 1. The ZA storage, shown for SVL=256 bits, organised as 32-bit floats, and the mapping to horizontal and vertical slices of ZA0-3 tiles")
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The Scalable Matrix Extension version 2 (SME2) extends the SME architecture to increase the number of applications that can benefit from the computational efficiency of SME, beyond its initial focus on outer products and matrix-matrix multiplication. SME2 adds:
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* Data processing instructions with multi-vector operands and a multi-vector predication mechanism.

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