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User-configurable, high-level transformations with CodeBoost

Kalleberg, Karl Trygve
Master thesis
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URI
https://hdl.handle.net/1956/1542
Date
2003
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  • Department of Informatics [739]
Abstract
Scalable design of large applications requires domain-specific, high-level abstraction. Classically, there has been a tension between abstraction and good performance. We demonstrate how to overcome this tension by augmenting a numerical library providing domain-specific, high-level abstractions with user-configurable optimizations for matrix operations and differentiation.
Publisher
The University of Bergen
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