Format Abstraction For Sparse Tensor

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... reduce if not completely eliminate the performance benefits that comes from working with multiple ASPLOS'23: The 28th International Conference on Architectural Support for Programming Languages and Operating Systems ... Achieving high performance is no easy task. When it comes to program operating on 1.5.1. Creating Sparse Tensors For Efficient WALS Input Bixia Zheng‎ will talk about the MLIR-PyTACO bridge, which connects the PyTACO DSL to the MLIR

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Automatic Generation of Efficient Sparse Tensor Format Conversion Routines Net Worth
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ASPLOS'23 - Session 4C - SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
ASPLOS'23 - Session 4C - The Sparse Abstract Machine
2021 LLVM Dev Mtg “Sparse Tensor Algebra Optimizations in MLIR”
ICPP Keynote: Making Sparse Fast with the TACO Domain Specific Language for Sparse Tensor Algebra
[CTSTA'23] The Sparse Abstract Machine
[FProPer24] Functional Sparse Tensor Compilation
1.5.1. Creating Sparse Tensors For Efficient WALS Input
MLIR Open Meeting 2022-02-10: PyTACO - An End-to-End Use Case for the Sparse Tensor Compiler
[OOPSLA] Compilation of Dynamic Sparse Tensor Algebra

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Last Updated: June 21, 2026

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