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Accelerating Sparse Matrix Computations with Code Specialization

Offered By: ACM SIGPLAN via YouTube

Tags

High Performance Computing Courses Computer Science Courses Linear Algebra Courses

Course Description

Overview

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Explore cutting-edge techniques for optimizing sparse matrix computations through code specialization in this 14-minute conference talk presented at CTSTA'23. Delve into innovative approaches that leverage specialized code generation to enhance performance and efficiency in handling sparse matrix operations. Gain insights into the latest advancements in high-performance computing and learn how these techniques can be applied to accelerate various computational tasks across scientific and engineering domains.

Syllabus

[CTSTA'23] Accelerating Sparse Matrix Computations with Code Specialization


Taught by

ACM SIGPLAN

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