From c94fc76bb89d0e6759379e157f1615ef7e72c916 Mon Sep 17 00:00:00 2001 From: lkcl Date: Sat, 14 May 2022 10:43:40 +0100 Subject: [PATCH] --- openpower/sv/SimpleV_rationale.mdwn | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) 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. -- 2.30.2