update

Author: lemire

cppcon2025/cppcon_2025_slides.md

@@ -7,6 +7,9 @@ paginate: true
 _paginate: false
 ---
 
+![bg right](images/jsonmirror.png)
+
+
 # C++26 Reflection for JSON Serialization
 ## A Practical Journey
 
@@ -289,13 +292,13 @@ let player: Player = serde_json::from_str(&json_str)?;
 <img src="images/rust.png" width="10%" />
 
 ---
+![bg left](images/rust_reflection.jpg)
 
 # Rust Reflection
 
 * Rust does not have any built-in reflection capabilities.
 * Serde relies on annotation and macros.
 
-<img src="images/rust_reflection.jpg" width="50%">
 
 ---
 
@@ -553,9 +556,17 @@ The magic:
 
 **3.4 GB/s** - 14x faster than nlohmann, 2.5x faster than Serde!
 
+
+---
+
+
+<img src="images/perf_with_simdjson_parsing.png" width="80%"/>
+
+
 ---
 
-# Ablation Study: How We Achieved 3.4 GB/s
+# Serialization Ablation Study
+## How We Achieved 3.4 GB/s
 
 **What is Ablation?**
 From neuroscience: systematically remove parts to understand function

cppcon2025/cppcon_2025_slides_old.md

@@ -968,6 +968,13 @@ _mm512_cmple_epu8_mask(word, _mm512_set1_epi8(31));
 
 **3.4 GB/s** - 14x faster than nlohmann, 2.5x faster than Serde!
 
+
+---
+
+
+<img src="images/perf_with_simdjson_parsing.png" width="80%"/>
+
+
 ---
 
 # Ablation Study: How We Achieved 3.2 GB/s
@@ -983,7 +990,7 @@ From neuroscience: systematically remove parts to understand function
 
 ---
 
-# Five Key Optimizations
+# Three Key Optimizations
 
 1. **Consteval**: Compile-time field name processing
 2. **SIMD String Escaping**: Vectorized character checks

cppcon2025/images/generate_perf_charts.py

@@ -26,6 +26,9 @@
 plt.title('Current JSON Serialization Landscape', fontsize=16)
 plt.text(0.01, 0.99, 'Apple Silicon (M3 MAX)', transform=ax.transAxes,
          fontsize=14, ha='left', va='top', style='italic', color='black')
+
+plt.text(0.01, 0.89, 'twitter.json', transform=ax.transAxes,
+         fontsize=14, ha='left', va='top', style='italic', color='black')
 plt.tight_layout()
 plt.savefig('perf_landscape.png', dpi=300, bbox_inches='tight')
 plt.close()
@@ -60,10 +63,42 @@
 plt.title('JSON Serialization Performance', fontsize=16)
 plt.text(0.01, 0.99, 'Apple Silicon (M3 MAX)', transform=ax.transAxes,
          fontsize=14, ha='left', va='top', style='italic', color='black')
+plt.text(0.01, 0.89, 'twitter.json', transform=ax.transAxes,
+         fontsize=14, ha='left', va='top', style='italic', color='black')
 plt.tight_layout()
 plt.savefig('perf_with_simdjson.png', dpi=300, bbox_inches='tight')
 plt.close()
 
+
+# Chart 2b: Parsing only (même style)
+plt.figure(figsize=(10, 6))
+bars = plt.bar(libraries_with, [172, 658, 1720, 2230, 4090], color=colors_with, edgecolor='black')
+ax = plt.gca()
+ax.spines['top'].set_visible(False)
+ax.spines['right'].set_visible(False)
+lang_labels = ["C++", "C++", "Rust", "C", "C++"]
+for i, bar in enumerate(bars):
+    yval = bar.get_height()
+    label = f'{yval} MB/s ' if libraries_with[i] == 'simdjson' else f'{yval} MB/s'
+    plt.text(bar.get_x() + bar.get_width()/2, yval + 50, label,
+             ha='center', va='bottom', fontsize=12)
+    plt.text(bar.get_x() + bar.get_width()/2, yval + 180, lang_labels[i],
+             ha='center', va='bottom', fontsize=12, color='black', fontweight='bold', style='italic')
+bars[-1].set_linewidth(3)
+bars[-1].set_edgecolor('#FF0000')
+plt.ylabel('Throughput (MB/s)', fontsize=14)
+plt.ylim(0, 4500)
+plt.title('JSON Parsing Performance', fontsize=16)
+plt.text(0.01, 0.99, 'Apple Silicon (M3 MAX)', transform=ax.transAxes,
+         fontsize=14, ha='left', va='top', style='italic', color='black')
+plt.text(0.01, 0.89, 'twitter.json', transform=ax.transAxes,
+         fontsize=14, ha='left', va='top', style='italic', color='black')
+plt.tight_layout()
+plt.savefig('perf_with_simdjson_parsing.png', dpi=300, bbox_inches='tight')
+plt.close()
+
+
+
 # Chart 3: Final comparison (sorted)
 libraries_sorted = ["simdjson", "yyjson", "Serde (Rust)", "RapidJSON", "nlohmann::json"]
 speeds_sorted = [3435, 2074, 1343, 497, 242]
@@ -94,6 +129,8 @@
 plt.title('Twitter Dataset (631KB) - Serialization Performance', fontsize=16)
 plt.text(0.01, 0.99, 'Apple Silicon (M3 MAX)', transform=ax.transAxes,
          fontsize=14, ha='left', va='top', style='italic', color='black')
+plt.text(0.01, 0.89, 'twitter.json', transform=ax.transAxes,
+         fontsize=14, ha='left', va='top', style='italic', color='black')
 plt.tight_layout()
 plt.savefig('perf_comparison.png', dpi=300, bbox_inches='tight')
 plt.close()