From fa157a8f0eabf3702d7391b1448548839720de76 Mon Sep 17 00:00:00 2001
From: lkcl <lkcl@web>
Date: Fri, 7 Feb 2020 16:49:21 +0000
Subject: [PATCH]

---
 3d_gpu/architecture/dynamic_simd/mul.mdwn | 3 +++
 1 file changed, 3 insertions(+)
 create mode 100644 3d_gpu/architecture/dynamic_simd/mul.mdwn

diff --git a/3d_gpu/architecture/dynamic_simd/mul.mdwn b/3d_gpu/architecture/dynamic_simd/mul.mdwn
new file mode 100644
index 000000000..a8e4f4e62
--- /dev/null
+++ b/3d_gpu/architecture/dynamic_simd/mul.mdwn
@@ -0,0 +1,3 @@
+# Dynamic Partitioned Multiply
+
+This is complicated!  It is necessary to compute a full NxN matrix of partial multiplication results, then perform a cascade of adds, using PartitionedAdd to "automatically" break them down into segments.  The Wallace Tree algorithm is presently deployed, here: we need to use the (more efficient) Dadda algorithm.
-- 
2.30.2