Uploaded June 2026 | Updated September 2026, 2 weeks ago
#HighLevelSynthesis #EDA #CatapultHLS
Welcome back to Part 2 of the Design Analyzer walkthrough series! This video explores how Design Advisor within Catapult Design Analyzer identifies coding style issues that can increase area and synthesis runtime in HLS designs.
Using a simple C design example, it shows how patterns such as conditional accumulate logic, dynamic index behavior, and conditional breaks in loops can create deep dependency chains, larger area, and longer runtime. It also shows how Design Advisor guides code restructuring to help improve synthesis results.
📋 What’s covered in this video:
🔍 Identifying coding style issues
See how Design Advisor automatically flags problematic coding patterns that can negatively affect area and synthesis runtime.
📉 Understanding the impact on HLS results
Learn how poor coding style can lead to deeper pipelines, larger area, and longer synthesis times.
🧩 Reviewing common problem patterns
Explore examples including conditional accumulate logic, dynamic index behavior, and conditional breaks in loops.
🛠️ Applying coding recommendations
See how Design Advisor guides code restructuring to reduce dependency chains and improve synthesis results.
📊 Comparing results before and after optimization
Review how the recommended changes reduce latency, area, and runtime in the example design.
▶️ Learn More:
» 🎓 https://sie.ag/43WP6a
» ⚙️ https://sie.ag/5pYiVy
» 📚 https://sie.ag/6Ckx14
▶️ Follow us:
» YouTube: https://sie.ag/6FtWS4
» LinkedIn: https://sie.ag/5p1PQC
» X: https://sie.ag/JwKeR
» Blog: https://sie.ag/ZjaDr
#CatapultHLS #HighLevelSynthesis #DesignAnalyzer #EDA #CatapultDA
#HighLevelSynthesis #EDA #CatapultHLS
Welcome back to Part 2 of the Design Analyzer walkthrough series! This video explores how Design Advisor within Catapult Design Analyzer identifies coding style issues that can increase area and synthesis runtime in HLS designs.
Using a simple C design example, it shows how patterns such as conditional accumulate logic, dynamic index behavior, and conditional breaks in loops can create deep dependency chains, larger area, and longer runtime. It also shows how Design Advisor guides code restructuring to help improve synthesis results.
📋 What’s covered in this video:
🔍 Identifying coding style issues
See how Design Advisor automatically flags problematic coding patterns that can negatively affect area and synthesis runtime.
📉 Understanding the impact on HLS results
Learn how poor coding style can lead to deeper pipelines, larger area, and longer synthesis times.
🧩 Reviewing common problem patterns
Explore examples including conditional accumulate logic, dynamic index behavior, and conditional breaks in loops.
🛠️ Applying coding recommendations
See how Design Advisor guides code restructuring to reduce dependency chains and improve synthesis results.
📊 Comparing results before and after optimization
Review how the recommended changes reduce latency, area, and runtime in the example design.
▶️ Learn More:
» 🎓 https://sie.ag/43WP6a
» ⚙️ https://sie.ag/5pYiVy
» 📚 https://sie.ag/6Ckx14
▶️ Follow us:
» YouTube: https://sie.ag/6FtWS4
» LinkedIn: https://sie.ag/5p1PQC
» X: https://sie.ag/JwKeR
» Blog: https://sie.ag/ZjaDr
#CatapultHLS #HighLevelSynthesis #DesignAnalyzer #EDA #CatapultDA










