Need help with soDLA?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

156 Stars 31 Forks Other 678 Commits 6 Opened issues


Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated

Services available


Need anything else?

Contributors list

# 566,730
455 commits

soDLA (beta)

soDLA is a self-driving car optimized DLA.

In the beta phase, an NVDLA can be generated by chisel(nvgen). These are the tutorials for chisel3, nvdla, somnia.

somnia is a tutorial for you to get familiar with soDLA flow.

cora as an extension accelerator, will focus on the localization and control algorithm.

nvgen and cora shares the same design flow and library.

soDLA_equi shows the unittest and equivalence checking results between NVDLA and soDLA.

Generate Verilog Modules

$ sbt run

Most verilog sources are not verified yet, but welcome to test on firesim and send me the issues. Before you generate nv_large as a whole, you will need to increase heap space in java first, or

$ env JAVA_OPTS="-Xmx4g" sbt run

New Update

  1. Package data with valid/ready interface, data with valid interface, data bundle with valid/ready interface into DecoupledIO(UInt), ValidIO(UInt) and Decoupled(Bundle).

  2. Package configuration data from ping-pong register into 'field' Bundle.

  3. Wrap the basic regsingle in ping-pong register into NVNVDLABASICREGsingle, csb logic in ping-pong register into NVNVDLACSBLOGIC, input-skid pipe into NVNVDLAISpipe, bubble-collapse pipe into NVNVDLABCpipe, fifo generator(from ness) into NVNVDLAfifo, they are under slibs folder.

  4. ODIF(open deep learning interface) is defined under nvdla/spec.

//updt 11/27/2019

  1. nv_large suport

//updt 11/28/2019

  1. nv_small without DRAM support


  1. PeekPokeTester under chisel, and verification with formal verification tools.
  2. soDLA doc page.
  3. Chisel3.2 full support(soDLA_beta will face "OutofMemory" issue in the latest Chisel3.2).

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.