29 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 3 cited
Confidential Machine Learning within Graphcore IPUs
Kapil Vaswani, Stavros Volos, Cédric Fournet +9
We present IPU Trusted Extensions (ITX), a set of experimental hardware extensions that enable trusted execution environments in Graphcore's AI accelerators. ITX enables the execut…
cs.LG2017★ 29 cited
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander L. Gaunt, Matthew A. Johnson, Maik Riechert +4
New types of machine learning hardware in development and entering the market hold the promise of revolutionizing deep learning in a manner as profound as GPUs. However, existing s…