DLBB: Deep Learning Building Blocks

DLBB is a project funded through the Cluster of Excellence on “Multimodal Computing and Interaction” (MMCI). The goal of the project is to research and define high-performance, cross-platform abstractions via meta-programming for deep learning frameworks. This will, in particular, include

  • how to describe the basic building blocks in a textbook-like style
  • how to combine and optimize a sequence of building blocks, and
  • how to run on different hardware (CPU, GPU, etc).