1. Surrogate Modeling for Predicting FPGA Place and Route
Paritosh Dande
Faculty: Dr. Rhett Davis, Dr. Paul Franzon
NC State University Department of Electrical and Computer Engineering
Backend tools have input settings which the algorithms use to converge to an output. Mapping the relationship between the inputs and outputs speeds up the place and route by predicting the input knobs settings for the desired outputs. This reduces the time taken by tools to converge to an output.
1. Introduction
6. Root Relative Square Error (RRSE)
Python is used to automate the environment.
Place and Route is done using Altera Quartus 17.0.
Design used is CORTEX-M0DS.
Surrogate Modeling is used to create models using ANN Genetic model.
2. Method
7. Results
Board- 5CGXFC9E6F35C7
Utilization % - 1.8%
Board - 5CEFA2F23C8
Utilization- 20.8% 21.74%
58ns
51ns
35ns
40ns
These graphs show the relationship between clock period and utilization as inputs and ALM’s and Registers used as outputs.
As the utilization increases, the design saturates at a lower Clock Period and expected relationship can be seen in the models generated.
3. CORTEX-M0DS Design
Implements a primary memory system and system bus interface.
32 bit processor and implements the ARMv6-M architecture.[1]
Total number of pins – 136
4. Cyclone V Family FPGA Architecture
Basic building block of Cyclone V Device architecture.
Each ALM has two 6 Input LUT, adders and registers to implement functions.[2]
3D Surrogate models using utilization rate and clock rate as inputs.
Classification model using a set of designs.
8. Future Scope
Date points for an FPGA Board – 300
Time taken to generate dataset – 30 hours
Inputs - Clock Period, Utilization on FPGA Board
Outputs - Number of ALM’s used, Number of Registers used, Setup Slack, Hold Slack
Time required to train – 6 hours
Process corner - Fast 1100mv 0C corner
5. Training Data Model
9. References
ARM CORTEXM0 Design start Release Note (2010).
Altera Cyclone V Documentation.
Bowen Li, Dr. Paul Franzon, Machine Learning in Physical Design.