Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Software and Platforms

Tensor Comprehensions

Keywords: Machine learning - Matrix calculation - Polyhedral compilation - GPU - CUDA

Functional Description: Tensor Comprehensions (TC) is a notation based on generalized Einstein notation for computing on multi-dimensional arrays. TC greatly simplifies ML framework implementations by providing a concise and powerful syntax which can be efficiently translated to high-performance computation kernels, automatically.

Release Functional Description: Integration of the loop tactics matching framework for identifying linear algebra operations and optimizing them.