22 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.AR2016★ 22 cited
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array
Mingu Kang, Sujan Gonugondla, Ameya Patil +1
This paper describes a multi-functional deep in-memory processor for inference applications. Deep in-memory processing is achieved by embedding pitch-matched low-SNR analog process…
stat.ML2016★ 1 cited
Understanding the Energy and Precision Requirements for Online Learning
Charbel Sakr, Ameya Patil, Sai Zhang +2
It is well-known that the precision of data, hyperparameters, and internal representations employed in learning systems directly impacts its energy, throughput, and latency. The pr…