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ASaP: Automatic Software Prefetching for Sparse Tensor Computations in MLIR

Year: 2025

Type: conference-paper

Abstract: Sparse tensor computations suffer from irregular memory access patterns that degrade cache performance. While software prefetching can mitigate this, existing compiler approaches lack the semantic insight needed for effective optimization.

DOI: 10.1145/3731599.3767477

Authors: Konstantinos Sotiropoulos, Jonas Skeppstedt, Per Stenström

Institutions: Chalmers University of Technology, University of Gothenburg, Lund University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4416004530

FWCI:

Cites: 37

Cited by: 1

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