Sciweavers

PPOPP
2012
ACM
12 years 8 months ago
Mechanizing the expert dense linear algebra developer
The efforts of an expert to parallelize and optimize a dense linear algebra algorithm for distributed-memory targets are largely mechanical and repetitive. We demonstrate that the...
Bryan Marker, Andy Terrel, Jack Poulson, Don S. Ba...
EUROPAR
2011
Springer
13 years 5 days ago
A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures
: Tuning numerical libraries has become more difficult over time, as systems get more sophisticated. In particular, modern multicore machines make the behaviour of algorithms hard ...
Emmanuel Agullo, Jack Dongarra, Rajib Nath, Stanim...
CLUSTER
2011
IEEE
13 years 7 days ago
Achieving Scalable Parallelization for the Hessenberg Factorization
—Much of dense linear algebra has been successfully blocked to concentrate the majority of its time in the Level 3 BLAS, which are not only efficient for serial computation, but...
Anthony M. Castaldo, R. Clint Whaley
PPAM
2007
Springer
14 years 6 months ago
New Data Structures for Matrices and Specialized Inner Kernels: Low Overhead for High Performance
Dense linear algebra codes are often expressed and coded in terms of BLAS calls. This approach, however, achieves suboptimal performance due to the overheads associated to such cal...
José R. Herrero
IPPS
2008
IEEE
14 years 6 months ago
Design of scalable dense linear algebra libraries for multithreaded architectures: the LU factorization
The scalable parallel implementation, targeting SMP and/or multicore architectures, of dense linear algebra libraries is analyzed. Using the LU factorization as a case study, it is...
Gregorio Quintana-Ortí, Enrique S. Quintana...
IPPS
2009
IEEE
14 years 7 months ago
Fast development of dense linear algebra codes on graphics processors
—We present an application programming interface (API) for the C programming language that facilitates the development of dense linear algebra algorithms on graphics processors a...
M. Jesús Zafont, Alberto F. Martín, ...