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What is Auto-Tuning

Chapter 5
Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities
Automatic optimization of those parameters, which are susceptible of being adapted, for a specific problem to be solved in a given architecture.
Published in Chapter:
Batched Computing
Copyright: © 2023 |Pages: 23
DOI: 10.4018/978-1-7998-7082-1.ch005
Abstract
This chapter presents the concept of batched computing, which consists of the division of a large problem into smaller portions and can be applied to both dense and sparse linear algebra. Two examples, general matrix-matrix multiplication (GEMM) and general triangular solver (GTSV), are used to present different approaches depending on the problem to solve. The GEMM example focuses on multi-core platforms, and it is also used to introduce the concept of auto-tunning. In the case of GTSV, the targeted device is a GPU. Moreover, given that this is a sparse operation, an analysis of the data layout is presented to see the impact of this aspect.
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More Results
Chapter 1
Algebras of Algorithms, Parallel Computing, and Software Auto-Tuning
The paradigm of software application optimization allowing to adapt computations executed by a program to a runtime environment in order to achieve one or a few goals — a reduction of time expenses, energy consumption or a computation cost.
Published in Chapter: Algebras of Algorithms, Parallel Computing, and Software Auto-Tuning; From: Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities
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