Process Agnostic Library Migration Automation
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1 Need for Speed: Process Agnostic Library Migration Automation Joseph Murray Lijun Li
2 Outline Motivation Approach PyCell Studio Cadence SKILL Comparison Summary
3 Why Process Agnostic Migration Automation Need for Migration Standard Cells (Library) ASIC Design Need for Automation Failure of Geometric Shrinking Need for Our Own Automation High Cost of New Standard Cells Project Purpose: 1. Demonstrate the concept 2. Evaluation
4 PyCell Studio: Design Overview PyCell: Based on Python Free to use and multiplatform Open Access database Geared towards parameterized cell design Our home-made PyCell ECE Wiki Parameterized Cell Methodology: Parameterized Cell (P-Cell) Instantiated Cell Technology File
5 PyCell Studio: Methodology Python Script (P-Cell) Technology File Error Compiling In design... Pass Layout Database File Fail DRC Pass Final Layout PyCell API
6 PyCell Studio:
7 PyCell Studio:
8 PyCell Studio:
9 PyCell Studio:
10 PyCell Studio: Pros & Cons Pros DRC automatically met Relatively simple design (almost no more than geometry) Cons Every rule must be accounted for Newly developed technology may not be accounted for Heavy scripting (e.g.: 300 lines for an inverter)
11 Cadence SKILL: Methodology 1 Quality By Design (QbD) Layout Specification Cadence Virtuoso Loading Layout Migrate Layout Technology File DRC Pass Final Layout SKILL Script
12 Cadence SKILL: Inverter
13 Cadence SKILL: NAND
14 Cadence SKILL: NOR
15 Cadence SKILL: Methodology 2 Adaptive Migration and Constraint Relaxation Hand-drawn Standard Cell Based on the work of Q. Tang, et al Cadence Virtuoso Load Layout Migration Not Complete Partial Migration Relax position Or Size Constraint Of Layout Identify Error Type Error DRC Migration Complete Final Layout Identify Errors Associate Errors With Layout Shapes
16 Adaptive Migration P-Tap 0.6ami P-Tap Simulated Technology Migration, Adaptive. Error resolved P-Tap Simulated Technology Migration, Non-Adaptive. Error: Via must be 0.6um square.
17 Adaptive Migration: Pros & Cons Pros Requires no additional work. Mature literature on the subject. Adapts to new design rule requirements Same approach may be used for optimization. Built in SKILL functions (Not used here). Cons Adaptive is very complex. Large up front development.
18 Evaluation: Comparison of Tools PyCell Studio Cadence SKILL Scripting Language Python SKILL (LISP-like) Cost Free to use but pay to get commercial support Pay to use and get commercial support Extension Almost none, have to interface with 3rd party Good Community support Almost none Good Emphasis Parameterized cell Generic Database Open Access database CDS Start supporting OA * Cadence has a toolbox of doing layout compaction Cadence is a better candidate
19 ECE6330 VLSI Design Class Project Evaluation: Methodology Recommendation QbD with Adaptive Migration and Constraint Relaxation Hand-drawn Standard Cell Cadence Virtuoso Loading Layout Technology File Error Handling/ Optimization Partial Migration Of Layout Error DRC Migration Complete Final Layout
20 Summary The motivation of this project Two tools: PyCell and Cadence SKILL Different approaches Evaluation
21 THANKS! QUESTIONS?
Design rule illustrations for the AMI C5N process can be found at:
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