Hardware accelerator for EV3a

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I. Table of content

Introduction
Design Flow Chart
Hardware Structure
Result
Reference
ACKNOWLEDGMENT

II. Introduction

Since EV3a algorithm has already existed. As a result, we would like toimprove it performance by realizing a specific hardware architecture.Common technique in digital design involve pipelining, caching and so on.In this final project, we’ll be using these technique to reduce timecomplexity of EV3a algorithm.

III. Design-Flow-Chart

ASM Chart	POP_RF

IV. Hardware-Structure

Block Diagram

Input-out-interface

a. EV3a Data Config

b. Evaluate fitness config

c. LFSR data config

V. Result

RTL simulation

a. LFSR

b. Evaluate Fitness

c. EV3a

Synthesize Result

a. Area Report

b. Timing Report

c. Power Report

prime time power

dc power(saif file)

Gate-level simulation

SW v.s HW

Table of result

VI. Reference

[1] Benjamin Doerr, Frank Neumann. Theory of Evolutionary  Computation. Springer Cham.2020.
[2] G. Andrey and N. Thirer, "A FPGA implementation of hardware  based accelerator for a generic algorithm," 2010 IEEE 26-th Convention of Electricaland   Electronics Engineers in Israel, 2010, pp. 000578-000580,doi: 10.  1109/EEEI.2010.5662152 
[3] MIT 6.375 complex digital system. Arvind, 
>> http://csg.csail.mit.edu/6.375/6_375_2019_www/index.html
[4] Heather Berlin, Zachary Zumbo. Hardware Accelerated Genetic Optimization for PCB Layer Assignment . 
>> http://csg.csail.mit.edu/6.375/6_375_2019_www/handouts/finals/Group_1_report.pdf
[5] ECE 4514 Digital Design II Spring 2008 Lecture 6: A Random  Number Generator. Patrick Schaumont. 
>> https://schaumont.dyn.wpi.edu/schaum/teaching/4514s19/

VII. Acknowledgement

We would like to ackowledge Professor Lindor for his mentorship and guidance throughout the research, design and implementation of this project. Without him, there would be no final implementation of this project, so as my EC Teammate. You can fellow their github. Here is the superconnection of their github. Thanks~
sicajc : https://github.com/sicajc
Alchemist-Kang : https://github.com/Alchemist-Kang

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ec_final's Introduction