From: lkcl <lkcl@web>
Date: Sat, 14 May 2022 09:43:40 +0000 (+0100)
Subject: (no commit message)
X-Git-Tag: opf_rfc_ls005_v1~2246
X-Git-Url: https://git.libre-soc.org/?a=commitdiff_plain;h=c94fc76bb89d0e6759379e157f1615ef7e72c916;p=libreriscv.git

---

diff --git a/openpower/sv/SimpleV_rationale.mdwn b/openpower/sv/SimpleV_rationale.mdwn
index bc3eeb677..e6404980c 100644
--- a/openpower/sv/SimpleV_rationale.mdwn
+++ b/openpower/sv/SimpleV_rationale.mdwn
@@ -1125,3 +1125,20 @@ standing problem facing Computer Science and doing so in a way that
 reduces power consumption reduces algorithm completion time and reduces
 the need for complex hardware microarchitectures in favour of much
 smaller distributed coherent Processing Elements.
+
+# Appendix
+
+**Samsung PIM**
+
+Samsung's
+[Processing-in-Memory](https://semiconductor.samsung.com/emea/newsroom/news/samsung-brings-in-memory-processing-power-to-wider-range-of-applications/)
+seems to be ready to launch as a
+[commercial product](https://semiconductor.samsung.com/insights/technology/pim/)
+that uses HBM as its Memory Standard,
+has "some logic suitable for AI", has parallel processing elements,
+and offers 70% reduction
+in power consumption and a 2x performance increase in speech
+recognition. Details beyond that as to its internal workings
+or programmability are minimal, however given the similarity
+to D-Matrix and Google TPU it is reasonable to place in the
+same category.