About EE109

The design of integrated digital systems encompassing both customized software and hardware. Software / hardware design tradeoffs. Algorithm design for pipelining and parallelism. System latency and throughput tradeoffs. FPGA optimization techniques. Integration with external systems and smart devices. Firmware configuration and embedded system considerations. Enrollment limited to 25; preference to graduating seniors. Prerequisites: 180 (formerly 108B), and CS 106B or X. <!– Tutorials for Using the Toolchain

• Tutorial 0: Running Scala and VCS Simulation

• Tutorial 1: Mounting a Remote File System

• Tutorial 2: Using an IDE for Spatial development –>

Reference Designs:

• MachSuite

• Matrix Multiplications, Products

• Basic Spatial Component Examples

Labs

• Lab 1: Getting Started with Digital Systems Design Using Spatial

• Lab 2: Using Spatial Controllers and Memories

• [Lab 3: Algorithm-Specific Hardware Design]

Project

TBD

Reports from Previous EE109

2017-18

• MNIST Recognition using Support Vector Machine and Deep Neural Network

• Ray Tracing and Scene Rendering

• Optimizing Videoodometry Library

• Tracking Centroids in Video Frames

Notes on Spatial

• Spatial Documentation

Using Github

• How to use Git and Github

• Codecademy Learn Git

Using VScode with Git

• VS code doc on using git

The lab will be released as a git repository. Once you clone the repo and open it with VScode, VScode provides many useful features that will help you use git source control more easily.