# soDLA

**Repository Path**: APX103/soDLA

## Basic Information

- **Project Name**: soDLA
- **Description**: Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated
- **Primary Language**: Scala
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-05-04
- **Last Updated**: 2024-05-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

soDLA (Building)
================

This is a suite of packages for working with nvdla in chisel
.
These are the tutorials for [chisel3](https://chisel.eecs.berkeley.edu/index.html#getstarted) and [nvdla](http://nvdla.org/hw/v1/hwarch.html)


My Progress
----------------


| Unit | Chisel | Validation& Test| Backend |
| ------ | ------ | ------ |------ |
| cmac |  Done | Some Simple Peekpoke Test| Not yet |
| cbuf | Done | Not yet | Not yet |
| csc | Done | Not yet | Not yet |
| cacc | Done | Not yet | Not yet |
| cfgrom | Done | Not yet | Not yet |
| apb2csb | Done | Not yet | Not yet |
| glb | Done | Not yet | Not yet |
| csb_master | Done | Not yet | Not yet |
| cdma| Done | Not yet | Not yet |
| cora(self-driving package) | Not yet | Not yet | Not yet |

Generate Verilog Modules
----------------
    $ sbt run
    
Most verilog sources are not verified yet, but welcome to test on firesim and send me the issues. 

    
cora package
----------------

This is a accelerator of self-driving car with following features:

1. 4-d or 6-d floating point matrix operations.

2. cordic

3. A pipeline of kalman-filter