saving.

Author: lemire

cppcon2025/cppcon_2025_slides.md

@@ -741,6 +741,7 @@ We've observed a 6% slow-down when compiling simdjson with static reflection ena
 
 4) **SIMD**: String operations benefit
 
+5) **Many optimization helps**
 
 ---
 

cppcon2025/data/parsingtwitterapplem2max.txt

@@ -0,0 +1,10 @@
+
+| Library/Method | Throughput | Time/iter | Notes |
+|----------------|------------|-----------|-------|
+| **simdjson (manual)** | 4.36 GB/s | 138.04 μs | Hand-written parsing code |
+| **simdjson::from()** | 4.17 GB/s | 144.45 μs | High-level API, uses C++26 reflection |
+| **simdjson (reflection)** | 4.09 GB/s | 147.19 μs | C++26 static reflection |
+| **yyjson** | 2.23 GB/s | 269.71 μs | C library |
+| **Serde (Rust)** | 1.72 GB/s | 349.75 μs | Via FFI |
+| **RapidJSON** | 658 MB/s | 915.14 μs | Full extraction |
+| **nlohmann/json** | 172 MB/s | 3501.02 μs | Full extraction |

cppcon2025/data/parsingtwitterapplem3max.txt renamed to cppcon2025/data/serializationtwitterapplem3max.txt

@@ -27,9 +27,9 @@ bench_yyjson                                                 :  1909.87 MB/s   0
 # Reading file /Users/random_person/Desktop/simdjson/buildreflect/jsonexamples/twitter.json
 # Note: Rust/Serde may include additional fields not in C++ structure.
 # output volume: 93311 bytes
-bench_rust                                                   :  417.89 MB/s   0.00 Ms/s
+bench_rust                                                   :  1710 MB/s 
 
 === Reflect-cpp ===
 # Reading file /Users/random_person/Desktop/simdjson/buildreflect/jsonexamples/twitter.json
 # output volume: 93311 bytes
-bench_reflect_cpp                                            :  1517.55 MB/s   0.02 Ms/s
+bench_reflect_cpp                                            :  1517.55 MB/s   0.02 Ms/s

cppcon2025/images/generate_perf_charts.py

@@ -3,7 +3,7 @@
 
 # Chart 1: Current landscape (without simdjson)
 libraries_landscape = ["nlohmann::json", "RapidJSON", "Serde (Rust)", "yyjson"]
-speeds_landscape = [242, 497, 1343, 2074]
+speeds_landscape = [174, 529, 1710, 1909]
 colors_landscape = ['#8B8680', '#6495ED', '#FF6F61', '#2ECC71']
 
 plt.figure(figsize=(10, 6))
@@ -35,7 +35,7 @@
 
 # Chart 2: With simdjson reveal
 libraries_with = ["nlohmann::json", "RapidJSON", "Serde (Rust)", "yyjson", "simdjson"]
-speeds_with = [242, 497, 1343, 2074, 3435]
+speeds_with = [174, 529, 1710, 1909, 3598]
 colors_with = ['#8B8680', '#6495ED', '#FF6F61', '#2ECC71', '#FFD700']
 
 plt.figure(figsize=(10, 6))
@@ -69,10 +69,9 @@
 plt.savefig('perf_with_simdjson.png', dpi=300, bbox_inches='tight')
 plt.close()
 
-
 # Chart 2b: Parsing only (same style)
 plt.figure(figsize=(10, 6))
-bars = plt.bar(libraries_with, [172, 658, 1720, 2230, 4090], color=colors_with, edgecolor='black')
+bars = plt.bar(libraries_with, [172, 658, 1720, 2637, 4170], color=colors_with, edgecolor='black')
 ax = plt.gca()
 ax.spines['top'].set_visible(False)
 ax.spines['right'].set_visible(False)
@@ -99,40 +98,7 @@
 
 
 
-# Chart 3: Final comparison (sorted)
-libraries_sorted = ["simdjson", "yyjson", "Serde (Rust)", "RapidJSON", "nlohmann::json"]
-speeds_sorted = [3435, 2074, 1343, 497, 242]
-colors_sorted = ['#FFD700', '#2ECC71', '#FF6F61', '#6495ED', '#8B8680']
-
-plt.figure(figsize=(10, 6))
-bars = plt.bar(libraries_sorted, speeds_sorted, color=colors_sorted, 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_sorted[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 + 150, lang_labels[i],
-             ha='center', va='bottom', fontsize=12, color='black', fontweight='bold', style='italic')
-
-# Highlight simdjson
-bars[0].set_linewidth(3)
-bars[0].set_edgecolor('#FF0000')
-
-plt.ylabel('Throughput (MB/s)', fontsize=14)
-plt.ylim(0, 4000)
-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()
 
 print("Performance charts generated successfully!")