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# Establishing a Scalable Sparse Ecosystem with the Universal Sparse Tensor

**[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 13 min read · 1 upvotes · 0 comments

## Summary

The Universal Sparse Tensor (UST) introduces a domain-specific language for describing sparse tensor storage formats, decoupling logical sparsity from physical memory representation. The DSL maps tensor dimensions to storage levels using formats like dense, compressed, singleton, and range, enabling developers to define both common formats (COO, CSR, CSC, DIA) and novel custom formats without explicit coding. The system scales from scalars through vectors and matrices to higher-dimensional tensors, with the number of possible storage combinations growing exponentially (2^d × d! for d dimensions). UST supports automatic dispatch to optimized libraries or code generation, addressing the combinatorial explosion of sparsity patterns across different data types, operations, and target architectures.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developer.nvidia.com/blog/establishing-a-scalable-sparse-ecosystem-with-the-universal-sparse-tensor/>

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Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#compiler](https://daily.dev/tags/compiler)

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