Device-Specific Power Delivery Network (PDN) Tool 2.0 User Guide

Download PDF
ID 683293
Date 8/24/2021
Public
Document Table of Contents
Document Table of Contents x
1. Device-Specific Power Delivery Network (PDN) Tool 2.0 User Guide
1. Device-Specific Power Delivery Network (PDN) Tool 2.0 User Guide x
1.1. Overview 1.2. PDN Decoupling Methodology Review 1.3. PDN Tool Setup and Result Optimization 1.4. Device-Specific PDN Tool 2.0 Known Issues and Their Solutions 1.5. Document Revision History for the Device-Specific Power Delivery Network (PDN) Tool 2.0 User Guide
1.2. PDN Decoupling Methodology Review x
1.2.1. PDN Circuit Topology 1.2.2. Major Tabs of the PDN Tool 2.0 1.2.3. Design PCB Decoupling Using the PDN Tool 2.0 1.2.4. Troubleshooting ZEFF
1.2.1. PDN Circuit Topology x
1.2.1.1. ZTARGET 1.2.1.2. FEFFECTIVE
1.2.2. Major Tabs of the PDN Tool 2.0 x
1.2.2.1. System_Decap 1.2.2.2. Stackup 1.2.2.3. BGA_Via 1.2.2.4. Plane_Cap 1.2.2.5. Cap_Mount 1.2.2.6. X2Y_Mount 1.2.2.7. Library 1.2.2.8. Enlarged_Graph
1.2.2.1. System_Decap x
1.2.2.1.1. Device Selection Section 1.2.2.1.2. Power Rail Data and Configuration Section 1.2.2.1.3. Meeting Target Impedance when Entering 0 A into the PDN Tool 1.2.2.1.4. Dealing with Multiple Shared Power Supply Pin Types 1.2.2.1.5. VRM Data Section 1.2.2.1.6. Rail Group Summary Section 1.2.2.1.7. VRM Impedance Section 1.2.2.1.8. BGA Via Section 1.2.2.1.9. Plane Section 1.2.2.1.10. Spreading Section 1.2.2.1.11. Implementing Split Planes 1.2.2.1.12. FEFFECTIVE Section 1.2.2.1.13. Decoupling Section 1.2.2.1.14. Results Summary Section 1.2.2.1.15. Recommended Flow for Deriving Decoupling for an FPGA System using the System_Decap Tab
1.2.2.2. Stackup x
1.2.2.2.1. Stackup Data 1.2.2.2.2. Full Stackup
1.2.2.7. Library x
1.2.2.7.1. Two-Terminal Decoupling Capacitors 1.2.2.7.2. Bulk Capacitors 1.2.2.7.3. X2Y Decoupling Capacitors 1.2.2.7.4. BGA Via and Plane Capacitance 1.2.2.7.5. VRM Library 1.2.2.7.6. Spreading R and L Parasitics 1.2.2.7.7. Dielectric Material Library 1.2.2.7.8. User Set FEFFECTIVE
1.2.3. Design PCB Decoupling Using the PDN Tool 2.0 x
1.2.3.1. Pre-Layout Instructions 1.2.3.2. Deriving Decoupling in a Single-Rail Scenario 1.2.3.3. Deriving Decoupling in the Power-Sharing Scenarios
1.2.4. Troubleshooting ZEFF x
1.2.4.1. Strategies for Correcting a High ZEFF
1.3. PDN Tool Setup and Result Optimization x
1.3.1. Setting Up a PCB Stackup 1.3.2. Setting up a Power Group 1.3.3. Optimizing in Pre-Layout 1.3.4. Further Optimizing for Better Accuracy 1.3.5. Correlation
1.3.1. Setting Up a PCB Stackup x
1.3.1.1. Selecting Your Device 1.3.1.2. Inputting Stackup Data
1.3.1.2. Inputting Stackup Data x
1.3.1.2.1. Using a Custom Dielectric Material
1.3.2. Setting up a Power Group x
1.3.2.1. Selecting the Rails 1.3.2.2. Rail Group Summary 1.3.2.3. VRM Impedance 1.3.2.4. BGA Via 1.3.2.5. Calculating Plane 1.3.2.6. Plane Spreading Parasitics 1.3.2.7. FEFFECTIVE and Decoupling Result Summary
1.3.3. Optimizing in Pre-Layout x
1.3.3.1. Checking the Capacitor Model 1.3.3.2. Optimizing the Decap Count
1. Device-Specific Power Delivery Network (PDN) Tool 2.0 User Guide

1.3.3.2. Optimizing the Decap Count

Since the tool is a code-based spreadsheet, it keeps adding up the number of decoupling capacitors until ZPDN satisfies ZTARGET up to FEFFECTIVE. The PDN tool has a 301ea maximum decap count.
  1. Change the Decoupling mode from Auto to Manual.

    There can be a ±5% variation on ZEFF impedance when doing decoupling caps optimization. This impedance variation can relate to fabrication tolerance.

    Figure 35. Manual Decoupling Results Summary - Pre-Optimization
  2. Observing the impedance plot carefully, optimize the number of each capacitor.
    Figure 36. Manual Decoupling Results Summary - Post-Optimization, Round 1After optimizing manually, 301ea decaps are dramatically reduced to 124ea while maintaining a similar ZPDN profile (the red curve) under the same ZTARGET.
    Figure 37. Manual Decoupling Results Summary - Post-Optimization Results, Round 1A small amount of violation at different frequencies can reduce the number of decaps. Before and after results are shown below.
Level Two Title