update openpower2021 abstract

diff --git a/conferences/openpower2021.mdwn b/conferences/openpower2021.mdwn
index e764a80fe4c34a6dd00fec948aa9ae68d2f82925..4a11b1b6cb9c5ffe9f5a0a5095fbd7916c7677d3 100644 (file)
--- a/conferences/openpower2021.mdwn
+++ b/conferences/openpower2021.mdwn
@@ -30,8 +30,8 @@ in-place.  In-place is crucially important for many applications (3D, Video)
 to keep power consumption down by avoiding register spill as well as L1/L2
 cache strip-mining.  General-purpose RADIX-2 DCT and complex DFT will be
 shown and explained, as well as the in-place Matrix Multiply which does
-not require transposing or register spill for any sized Matrices up to
-128 FMACs.  The basics of SVP64, covered in the Overview [1], will also
-be briefly described.
+not require transposing or register spill for any sized Matrices
+(including non-power-two) up to 128 FMACs.  The basics of SVP64, covered
+in the Overview [1], will also be briefly described.
 
 [1] https://libre-soc.org/openpower/sv/overview/