Towards scalable pattern‐based optimization for dense linear algebra

Summary Linear algebraic expressions are the essence of many computationally intensive problems, including scientific simulations and machine learning applications. However, translating high‐level formulations of these expressions to efficient machine‐level representations is far from trivial: devel...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Concurrency and computation 2018-11, Vol.30 (22), p.n/a
Hauptverfasser:	Berényi, Dániel, Leitereg, András, Lehel, Gábor
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Formulations Functional programming higher‐order function fusion Level (quantity) Linear algebra Machine learning Mathematical analysis Optimization optimization patterns Permutations rewrite rules Subdivisions
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!