Exploring Albert Cohen Herding Tensor Compilers
If you are looking for information about Albert Cohen Herding Tensor Compilers, you have come to the right place.
- Polyhedral compilation is a technique for optimizing compilation of array and vector operations, widely used in
- Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman Amarasinghe
- MLIR – What and What Next, by
- This video presents ongoing work at UFMG's
- Linear algebra is a work-horse of numerical computing.
In-Depth Information on Albert Cohen Herding Tensor Compilers
Abstract: The orchestration of high-performance numerical computations on distributed and heterogeneous systems is not getting ... Now at Google, Polyhedral compilation is a technique for optimizing compilation of array and vector operations, widely used in Index notation (Einstein summation) is an elegant representation for array operations, powering several recent high-level ...
Bixia Zheng will talk about the MLIR-PyTACO bridge, which connects the PyTACO DSL to the MLIR sparse
We hope this detailed breakdown of Albert Cohen Herding Tensor Compilers was helpful.
