Minor changes

slides/simulations.md

@@ -14,7 +14,7 @@
 
 - Vector-Matrix benchmarks (BLAS level 2)
     - GEMV: $z = A \cdot x$
-    - DNN:
+    - Simple DNN:
       - $f(x) = z = ReLU(A \cdot x)$
       - $z_{n+1} = f(z_n)$
       - 5 layers in total
@@ -36,24 +36,44 @@ Operand Dimensions
 </div>
 </div>
 
+<!--
+- operand data significantly larger than on-chip cache
+-->
+
 ---
 
 ## Simulations
 ### System Configuration
 <hr/>
 
+<br>
 <br>
 <br>
 
-- Two simulated systems:
-    - Generic ARM systems
-    - Infinite compute ARM system
+<div class="grid grid-cols-2 gap-4">
+<div>
+
+#### Two simulated systems:
 
 <br>
 
-- Two real GPUs using HBM2:
-  - AMD RX Vega 56
-  - NVIDIA V100
+- Generic ARM system
+- Infinite compute system
+  - completely memory bound
+
+</div>
+
+<div>
+
+#### Two real GPUs using HBM2:
+
+<br>
+
+- AMD RX Vega 56
+- NVIDIA V100
+
+</div>
+</div>
 
 ---
 layout: figure
@@ -75,11 +95,15 @@ figureCaption: Speedups of PIM compared to non-PIM
 ### Speedups / Infinite Compute System
 <hr/>
 
+<!--
+- VADD: 12.7x
+- GEMV: 9.0x
+-->
+
 ---
 layout: figure
 figureUrl: /samsung.svg
 figureCaption: Speedups of Samsung for VADD and GEMV
-figureFootnoteNumber: 1
 ---
 
 ## Simulations
@@ -97,6 +121,7 @@ figureFootnoteNumber: 1
 - ADD shows deviation
 
 -> differences in hardware architecture
+- GPU has no speculative execution
 -->
 
 ---
@@ -111,6 +136,7 @@ figureCaption: Runtimes for Vector Benchmarks
 
 <!--
 - Real GPUs use multiple memory channels
+- Memory barriers
 - Also architectural differences
 -->