RISC-V Audiomark (RISC-V Mentorship)

Riscv; Remote; CAD 30,000 - 60,000; Full time

Job description

EEMBC AudioMark is a benchmark which models a sophisticated, real-world audio pipeline that uses a neural net for keyword spotting. It combines digital signal processing and AI tasks in one workload.

This benchmark currently does not have dedicated RISC-V support. It is based on CMSIS-NN and CMSIS-DSP libraries, for which several vendor-specific ports to RISC-V by IP suppliers exist.

The goal of this mentorship is to bootstrap the RISC-V support for AudioMark and the addition of architecture‑specific optimizations. The architectural extensions which benefit this benchmark are the RISC‑V Vector extension and the currently in‑development specification for Packed SIMD (P).

Repository URL: https://github.com/eembc/audiomark

Learning Objectives

1. RISC‑V Toolchains and ecosystem: When working with cutting edge extension, it is necessary to build your own compiler toolchain. Additionally, you will need to work with simulators/emulators and debuggers.
2. Performance benchmarking: You will need to critically assess your own contributions, and
3. RISC‑V architecture: You will learn about the RISC‑V ISA, including advanced and bleeding‑edge extensions.
4. Audio/DSP/AI applications: Working on this benchmark will give you hands on experience with a real Audio processing pipeline.

Coding Challenge: https://docs.google.com/document/d/1BLO9GU57161sGLYuBxm7MzcDJSVZIj5OYhqFli7t-Y0/edit?usp=sharing