TVM Stack
TVM stack is a unified optimization stack that will close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends. The project contains the following components
Checkout our techreport TVM: An Automated End-to-End Optimizing Compiler for Deep Learning and latest updates at tvm.ai.
People
Tianqi Chen
Assistant Professor - CMU
Thierry Moreau
Affiliate Assistant Professor
Arvind Krishnamurthy
Professor
Luis Ceze
Professor
Carlos Guestrin
Professor - Stanford
Zachary Tatlock
Associate Professor
