diff --git a/drawings/convolution.drawio b/drawings/convolution.drawio
new file mode 100644
index 0000000..20f1e53
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diff --git a/drawings/dnn.drawio b/drawings/dnn.drawio
new file mode 100644
index 0000000..df30058
--- /dev/null
+++ b/drawings/dnn.drawio
@@ -0,0 +1,217 @@
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diff --git a/public/dnn.svg b/public/dnn.svg
index aa46b22..6ec8dfe 100644
--- a/public/dnn.svg
+++ b/public/dnn.svg
@@ -1,901 +1,4 @@
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\ No newline at end of file
diff --git a/slides/pim.md b/slides/pim.md
index 5beac26..4f07799 100644
--- a/slides/pim.md
+++ b/slides/pim.md
@@ -1,19 +1,14 @@
----
-layout: figure
-figureUrl: /dnn.svg
-figureCaption: A fully connected DNN layer
-figureFootnoteNumber: 1
----
-
## Processing-in-Memory
### Applicable Workloads
-
-
- He et al. „Newton: A DRAM-maker’s Accelerator-in-Memory (AiM) Architecture for Machine Learning“, 2020.
-
-
+- Fully connected layers have a large weight matrix
+ - Weight matrix does not fit onto on-chip cache
+ - No data reuse in the matrix
+
+
+
+