Sandeep P ( sandeep.p@intel.com
); +91 80 2507 5492
Anand Ananthanarayanan ( anand.ananthanarayanan@intel.com
); +91 80 2507 5774
Intel Corporation

Author
Sandeep P
Anand Ananthanarayanan
Affiliation
Intel Corporation
Intel Corporation
Phone Number
+91 80 2507 5492
+91 80 2507 5774
Email Address sandeep.p@intel.com
anand.ananthanarayanan@intel.com
Intel Information Technology
2 , FOR INTERNAL USE ONLY

3
Design processes from Logic design, validation, backend implementation and verification require a plethora of CAD tools. These tools generate reports, debug information in its own form and content. Designers need to parse and review data from multiple sources and tools to make design calls. When implementing backend design, a designer or a methodology owner needs to understand the patterns seen in the design. Data like number of paths dominated by low leakage, Slope profile for cells with margin > x ps, Drive strength profile of cells in timing path, etc., are critical to make design decisions, optimize design collaterals and ensure design with robust electrical functionality. Many of the data can be obtained only through data mining of results and logs of multiple tools. Data mining is also a constant activity from technology readiness to execution and post silicon debug phases. Data mining problem gets compounded when data is needed from different PV domains. For example, a designer looking to optimize power would need dynamic power information, path margin and max cap information all generated by different tools in different formats in different locations. Data mining has been historically done by adhoc scripts to parse through different reports, and log files. Data generated is post processed and then visualized. Any requirement change in data mining would need changes in the scripts. There is no data mining model which supports multiple tools with different output formats. There is no methodology which supports cross domain analysis.
We present IDEA (Impromptu Data Extraction and Analysis). IDEA is data mining and data analysis framework in a highly interactive web application platform. It supports assimilating data from different tools and formats into one data organization in the form of SQL tables. SQL enables compact organization and faster queries. IDEA framework is built using the Linux-Apache™-Mysql™-Perl (LAMP) packages and uses the R language for performing statistical analysis on the data. R language enables handling huge amount of data with support for different statistical plots like pie-charts, histograms, box plots, scatter plots, Linear regression etc. IDEA data mining completes in minutes compared to hours/days with conventional approaches like scripts. IDEA is highly interactive web application with all the data extraction and plotting functionalities abstracted using highly interactive widgets. IDEA has been used to data mine power savings post Optimization, Analysis of power distribution, Profile the speed paths, Review standard cells usage, Utilization of cell sizes across the design space, RC delays per path stage and has multiple other usages.
Large precious unorganized data lies unexploited. Structured Data Mining essential for competitive VLSI design. Increasing complexity makes data analytics a must-have for quality design. No EDA tool exists today to do this critical data mining. IDEA fills this gap and provides valuable data mining capability. It is time to think of Data Mining as a EDA product
, FOR INTERNAL USE ONLY
Intel Information Technology

Extraction reports
Timing Reports
Route utilization Cell utilization
Implement
Logic
Verify
DRC reports Layout Checks
4
Multiple Tools
Multiple Reports
Multiple Formats Functional Circuit Design
Large Data gets generated requiring interpretation and Analysis
Intel Information Technology
, FOR INTERNAL USE ONLY

Data Conundrum
5
Design Quality Increasingly Dependent on Multiple Parameters
Intel Information Technology
, FOR INTERNAL USE ONLY

6
Tech Readiness
• Data mining is done to generate design heuristics
Design execution
• Data mining is done to determine delta changes on design limits
• Data mining needed for optimization
Post silicon • Data mining is done to root cause and understand the
PV-Silicon miscorrelation
Formal Data Mining Tool or Model Not Currently Available In Industry
Intel Information Technology
, FOR INTERNAL USE ONLY

7 , FOR INTERNAL USE ONLY
Intel Information Technology

8
 Web application for Data mining on an open architecture
 Linked Data Caching SQL databases
 Common Xml interface for data manipulation
 Statistical analysis capability with ‘R’ Language
 Practically unlimited capacity with ‘R’ Language
 Data visualization capability
 Histograms, pie charts, density/scatter plots, dot charts
 Faster turn around time (no text parsing scripts)
 Intuitive, web based user interface
Highly Interactive Application for Data Mining
Intel Information Technology
, FOR INTERNAL USE ONLY

9 , FOR INTERNAL USE ONLY
Web Based Data Mining Platform
Intel Information Technology

Application Tier
10
Presentation Tier
DataBase
Storage Tier
, FOR INTERNAL USE ONLY
Three Tiered Web Application
Intel Information Technology

11
Control
Center
Data
Extraction
Data
Manipulation
AJAX Calls
JSON for data transfer
Data
Viewer
Experiments
Idea Server Report
Viewer
Apps
Statistical Analysis
Spreadsheet Generation
PDF Converter
Simple Client with Powerful Capabilities
Intel Information Technology
, FOR INTERNAL USE ONLY

12
Open IDEA App Select Project Select Blocks Manipulate Data
Generate PDF or export to spreadsheets
Run Statistical
Analysis and
Reports
Run pre-selected
Queries OR Query interactively
, FOR INTERNAL USE ONLY
Intel Information Technology

13
Datamine power savings post Optim
RC delays per path stage
IDEA
Usage
Utilization of cell sizes across the design space
Review standard cells usage
Analysis of power distribution
Profile the speed paths
, FOR INTERNAL USE ONLY
- Data Mining Simplified -
Intel Information Technology

• Large precious unorganized data lies unexploited
• Structured Data Mining essential for competitive VLSI design
• Increasing complexity makes data analytics a must-have for quality design
• No EDA tool exists today to do this critical data mining
• IDEA fills this gap and provides valuable data mining capability
14
- It is time to think of Data Mining as a EDA product -
Intel Information Technology
, FOR INTERNAL USE ONLY

 Everyone at Intel who contributed to this work
15 , FOR INTERNAL USE ONLY
Intel Information Technology