Publications of Torsten Hoefler

Andrei Ivanov, Timo Schneider, Luca Benini, Torsten Hoefler:

RIVETS: An Efficient Training and Inference Library for RISC-V with Snitch Extensions

(In RISC-V Summit Europe, Jun. 2023)

Abstract

The openness and customizability of RISC-V makes it a compelling platform for executing deep learning applications. We present a library of efficient deep learning kernels for RISC-V hardware, addressing the challenge of achieving optimal performance in both training and inference. The library adopts the Snitch extensions to RISC-V, adheres to the OneDNN interface, and offers portable baseline implementations as well as platform-specific optimizations. Our optimizations that leverage Snitch extensions allow us to achieve up to 0.87 flops per clock cycle. RIVETS is a valuable tool for deep learning practitioners and researchers using RISC-V, providing portability, compatibility with other frameworks, and a baseline for performance comparison.

Documents

download article:

download slides:

BibTeX

@poster{,
  author={Andrei Ivanov and Timo Schneider and Luca Benini and Torsten Hoefler},
  title={{RIVETS: An Efficient Training and Inference Library for RISC-V with Snitch Extensions}},
  year={2023},
  month={Jun.},
  booktitle={RISC-V Summit Europe},
  source={http://www.unixer.de/~htor/publications/},
}


serving: 3.147.48.105:64709	© Torsten Hoefler