Grundgerüst steht

slides.md

@@ -36,9 +36,17 @@ src: ./slides/implementation.md
 src: ./slides/simulations.md
 ---
 
+---
+src: ./slides/conclusion.md
+---
+
 ---
 layout: end
 ---
 
 # Thank you for your attention
 <hr/>
+
+---
+src: ./slides/appendix.md
+---

slides/appendix.md

@@ -0,0 +1,42 @@
+## Appendix
+### GEMV Kernel
+<hr/>
+
+<Transform :scale="0.7">
+
+```rust {all}{lines:true}
+pub fn execute<const X16R: usize, const X16C: usize, const R: usize>(
+    matrix: &Matrix<X16R, X16C>,
+    input_vector: &Vector<X16C>,
+    output_partial_sum_vector: &mut SVector<F16x16, R>,
+    dummy: &impl PimOperand,
+) {
+    // Load input vector into GRF-A registers
+    for chunk in input_vector.0.iter() {
+        chunk.execute_read();
+    }
+
+    // Execute the MAC instructions without memory barriers
+    for sub_matrix in matrix.0.iter() {
+        for column_block in sub_matrix.fixed_rows::<1>(0).iter() {
+            column_block.execute_read_async();
+        }
+    }
+
+    // Verify all memory accesses have finished
+    barrier::dsb(barrier::SY);
+
+    // Copy the partial sums into the bank
+    for chunk in output_partial_sum_vector
+        .fixed_rows_with_step_mut::<X16R>(0, 16)
+        .iter_mut()
+    {
+        chunk.execute_write();
+    }
+
+    // Execute the EXIT instruction
+    dummy.execute_read();
+}
+```
+
+</Transform>

slides/conclusion.md

@@ -0,0 +1,9 @@
+## Conclusion and Future Work
+<hr/>
+
+- achievable speedup of 17.6 × and 9.0 × hypothetical infinite compute system
+  - lower bound
+- linux driver implementation
+- comparison with real neural network workloads
+- consider replacing library approach with compiler approach
+- power comparison, power models needed

slides/implementation.md

@@ -11,7 +11,7 @@ figureCaption: The PIM-HBM model integrated into DRAMSys
 ---
 layout: figure-side
 figureUrl: /data_structures.svg
-figureCaption: The PIM-HBM model integrated into DRAMSys
+figureCaption: Data structures for instructions and register files
 ---
 
 ## Virtual Prototype

slides/pim.md

@@ -141,3 +141,5 @@ figureCaption: Mapping of the weight matrix onto the memory banks
 simulation models needed
 
 research should not only focus on hardware but also explore the software side!
+
+deswegen baue ich einen virutal protoype

slides/simulations.md

@@ -30,9 +30,71 @@
 </div>
 </div>
 
+---
+
+## Simulations
+### System Configuration
+<hr/>
+
+- Two system configurations:
+    - ARM 3GHz
+    - ARM Infinite
+
+- TODO ... GPU und so
+
 ---
 layout: figure
-figureUrl: /dnn.svg
+figureUrl: /speedup_normal.svg
-figureCaption: A fully connected DNN layer
+figureCaption: Speedups of PIM compared to non-PIM
+---
+
+## Simulations
+### Speedups / ARM System
+<hr/>
+
+---
+layout: figure
+figureUrl: /speedup_inf.svg
+figureCaption: Speedups of PIM compared to non-PIM
+---
+
+## Simulations
+### Speedups / Infinite Compute System
+<hr/>
+
+---
+layout: figure
+figureUrl: /samsung.svg
+figureCaption: Speedups of Samsung for VADD and GEMV
 figureFootnoteNumber: 1
 ---
+
+## Simulations
+### Speedups / Samsung
+<hr/>
+
+<Footnotes separator>
+  <Footnote :number=1>
+  Lee et al. „Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product“, 2021.
+</Footnote>
+</Footnotes>
+
+---
+layout: figure
+figureUrl: /runtimes_vector.svg
+figureCaption: Runtimes for Vector Benchmarks
+---
+
+## Simulations
+### Runtimes / Vector Benchmarks
+<hr/>
+
+---
+layout: figure
+figureUrl: /runtimes_matrix.svg
+figureCaption: Runtimes for Matrix Benchmarks
+---
+
+## Simulations
+### Runtimes / Matrix Benchmarks
+<hr/>