In this article we present a systematic approach to the derivation of families of high-performance algorithms for a large set of frequently encountered dense linear algebra operations. As part of the derivation a constructive proof of the correctness of the algorithm is generated. The article is structured so that it can be used as a tutorial for novices. However, the method has been shown to yield new high-performance algorithms for well-studied linear algebra operations and should also be of interest to those who wish to produce best-in-class high-performance codes. Categories and Subject Descriptors: G.4 [Mathematical Software]—Algorithm design and anal
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
This dissertation introduces measurement-based performance modeling and prediction techniques for de...
Abstract. We present a prototypical linear algebra compiler that automatically exploits domain-speci...
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
We consider the problem of developing formally correct dense linear algebra libraries. The problem ...
We consider the problem of developing formally correct dense linear algebra libraries. The problem w...
Abstract In this document we present a new approach to developing sequential and parallel dense line...
Abstract. In this article we look at the generation of libraries for dense linear algebra operations...
Starting in the late 1960s computer scientists including Dijkstra and Hoare advocated goal- oriented...
Abstract—It is well known that the behavior of dense linear algebra algorithms is greatly influenced...
Abstract. To implement dense linear algebra algorithms for distributed-memory computers, an expert a...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
<p>Scientific Computation provides a critical role in the scientific process because it allows us as...
derivation of algorithms for linear algebra operations. Rather than proving loop based algorithms co...
Abstract. We present a systematic methodology for deriving and implementing linear algebra libraries...
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
This dissertation introduces measurement-based performance modeling and prediction techniques for de...
Abstract. We present a prototypical linear algebra compiler that automatically exploits domain-speci...
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
We consider the problem of developing formally correct dense linear algebra libraries. The problem ...
We consider the problem of developing formally correct dense linear algebra libraries. The problem w...
Abstract In this document we present a new approach to developing sequential and parallel dense line...
Abstract. In this article we look at the generation of libraries for dense linear algebra operations...
Starting in the late 1960s computer scientists including Dijkstra and Hoare advocated goal- oriented...
Abstract—It is well known that the behavior of dense linear algebra algorithms is greatly influenced...
Abstract. To implement dense linear algebra algorithms for distributed-memory computers, an expert a...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
<p>Scientific Computation provides a critical role in the scientific process because it allows us as...
derivation of algorithms for linear algebra operations. Rather than proving loop based algorithms co...
Abstract. We present a systematic methodology for deriving and implementing linear algebra libraries...
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
This dissertation introduces measurement-based performance modeling and prediction techniques for de...
Abstract. We present a prototypical linear algebra compiler that automatically exploits domain-speci...