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Agostini, 2024 - Google Patents

Hardware/Software Co-Design and Compiler Techniques for Efficient Hardware Acceleration of Dense Linear Algebra Kernels and Machine Learning Applications

Agostini, 2024

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Document ID
1716177189217473318
Author
Agostini N
Publication year

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Snippet

Today's linear algebra and machine learning applications (ML) continue to grow in size and complexity, placing rapidly increasing demands on the underlying hardware and software systems. To address these issues, hardware designers have proposed using custom …
Continue reading at repository.library.northeastern.edu (PDF) (other versions)

Classifications

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    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled

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