25 citations · 68 across the 11 of their papers we have counts for
3 papers · 1 filter
Powerset Convolutional Neural Networks
Chris Wendler, Dan Alistarh, Markus Püschel
We present a novel class of convolutional neural networks (CNNs) for set functions, i.e., data indexed with the powerset of a finite set. The convolutions are derived as linear, sh…
Program Generation for Linear Algebra Using Multiple Layers of DSLs
Daniele G. Spampinato, Diego Fabregat-Traver, Markus Püschel +1
Numerical software in computational science and engineering often relies on highly-optimized building blocks from libraries such as BLAS and LAPACK, and while such libraries provid…
On Linear Learning with Manycore Processors
Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi +1
A new generation of manycore processors is on the rise that offers dozens and more cores on a chip and, in a sense, fuses host processor and accelerator. In this paper we target th…