(no commit message)

diff --git a/openpower/sv/SimpleV_rationale.mdwn b/openpower/sv/SimpleV_rationale.mdwn
index 95349f6ccaa0536bf6a8f10a57623c08401f9b9a..677651f86db79ffcec8423001fcdd8ff95fb8a98 100644 (file)
--- a/openpower/sv/SimpleV_rationale.mdwn
+++ b/openpower/sv/SimpleV_rationale.mdwn
@@ -550,8 +550,9 @@ Extra-V appears to be a remarkable research project that, by leveraging
 OpenCAPI, assuming that the map of edges in any given arbitrary data graph
 could be kept by the main CPU in-memory, could distribute and delegate
 a limited-capability deterministic but most importantly *data-dependent*
-node-walking schedule actually right down into the memory itself (on the other side of that L1-4 cache barrier).  A miniature processor analysed
-the data it had read (at the Memory), and determine if it should
+node-walking schedule actually right down into the memory itself (on the other side of that L1-4 cache barrier).  A miniature processor 
+(non-Turing-complete) analysed
+the data it had read (at the Memory), and determined if it should
 notify the main processor that this "Node" is worth investigating,
 or if the Graph node-walk should split in a different direction.
 Thanks to the OpenCAPI Standard, which takes care of Virtual Memory
@@ -576,6 +577,10 @@ to coordinate data passed in and out of PEs: none of them have or
 had something
 as powerful as OpenCAPI as part of that picture.
 
+The fact that Neural Networks may be expressed as arbitrary Graphs,
+and comprise Sparse Matrices, should also have been noted by the reader
+interested in AI.
+
 **Snitch**
 
 Snitch is an elegant Memory-Coherent Barrel-Processor where registers