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lkcl
<lkcl@web>
Sun, 8 May 2022 13:41:46 +0000
(14:41 +0100)
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IkiWiki
<ikiwiki.info>
Sun, 8 May 2022 13:41:46 +0000
(14:41 +0100)
openpower/sv/SimpleV_rationale.mdwn
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diff --git
a/openpower/sv/SimpleV_rationale.mdwn
b/openpower/sv/SimpleV_rationale.mdwn
index 36e20150b44d54a5968c6456201feae2bf68036b..ae8ab2398b45e9126b59a8314a94f6889c369dc9 100644
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openpower/sv/SimpleV_rationale.mdwn
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openpower/sv/SimpleV_rationale.mdwn
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-848,7
+848,7
@@
main CPU. In this way a large Sparse Matrix Multiply or Convolution
may be achieved without having to pass unnecessary data through
L1/L2/L3 Caches only to find, at the CPU, that it is zero.
-**Use-case: More powerful
PEs in-memory
**
+**Use-case: More powerful
in-memory PEs
**
An obvious variant of the above is that, if there is inherently
more parallelism in the data set, then the PEs get their own