Use svg vector images converted from original jpeg ones

diff --git a/openpower/sv/SimpleV_rationale.mdwn b/openpower/sv/SimpleV_rationale.mdwn
index fe5f0e9a732af1fb4e90c1aa6aa6faddc327b099..a8096629b18718c165ebb339bdb52d952f6970cd 100644 (file)
--- a/openpower/sv/SimpleV_rationale.mdwn
+++ b/openpower/sv/SimpleV_rationale.mdwn
@@ -903,9 +903,7 @@ definitely compelling enough to warrant in-depth investigation.
 
 **Use-case: Matrix and Convolutions**
 
-DRAFT image:
-
-<img src="https://ftp.libre-soc.org/20220614_122128.jpg" width=600 />
+<img src="/openpower/sv/sv_horizontal_vs_vertical.svg" width=600 />
 
 First, some important definitions, because there are two different
 Vectorisation Modes in SVP64:
@@ -931,7 +929,7 @@ in full.  Vertical-First may be used to perform a LD/ST within
 the loop, covered by `svstep`, but it is still not ideal.  This
 is where the Snitch and EXTRA-V concepts kick in.
 
-<img src="https://ftp.libre-soc.org/matrix_svremap.jpg" width=600 />
+<img src="/openpower/sv/matrix_svremap.svg" width=600 />
 
 Imagine a large Matrix scenario, with several values close to zero that
 could be skipped: no need to include zero-multiplications, but a