Introducing: The Libflame Library for Dense Matrix Computations

• Published in: Computing in science & engineering p. 1
• Main Authors: Van Zee, Field, Chan, Ernie, van de Geijn, Robert, Quintana, Enrique, Quintana-Orti, Gregorio
• Format: Journal Article
• Language: English
• Published: IEEE 2019
• Subjects: C.1.2.g Parallel processors; C.1.3.h Multithreaded processors; C.1.4.e Multi-core/single-chip multiprocessors; Collaborative tools; Computer architecture; D.2.1.h Tools; D.2.13.b Reusable libraries; D.2.4.d Formal methods; D.2m.a Software libraries; Design methodology; E.1.d Graphs and networks; F.2.1.c Computations on matrices; F.2.2.b Computations on discrete structures; F.2.2.c Geometrical problems and computations; Fires; G.1.0.c Error analysis; G.1.0.f Numerical algorithms; G.1.0.g Parallel algorithms; G.1.3.e Linear systems; G.2.2.a Graph algorithms; G.2.2.d Network problems; G.4.f Portability; Libraries; Linear algebra; Linear programming; Mathematical programming; Multicore processing; Scientific computing
• ISSN: 1521-9615; 1558-366X
• DOI: 10.1109/MCSE.2009.154

As part of the FLAME project, we have been dilligently developing new methodologies for analyzing, designing, and implementing linear algebra libraries. While we did not know it when we started, these techniques appear to solve many of the programmability problems that now face us with the advent of multicore and many-core architectures. These efforts have culminated in a new library, libflame, which strives to replace similar libraries that date back to the late 20th century. With this paper, we introduce the scientific computing community to this library.