Tag Archives: HotOS

“No! Not Another Deep Learning Framework” to Appear at HotOS’2017

Our position paper calling for a respite in the deep learning framework building arms race has been accepted to appear at this year's HotOS workshop. We make a simple observation: too many frameworks are being proposed with little interoperability between them, even though many target the same or similar workloads; this inevitably leads to repetitions … Continue Reading ››