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EUROPAR
2007
Springer
13 years 10 months ago
Toward Scalable Matrix Multiply on Multithreaded Architectures
We show empirically that some of the issues that affected the design of linear algebra libraries for distributed memory architectures will also likely affect such libraries for s...
Bryan Marker, Field G. Van Zee, Kazushige Goto, Gr...
IPPS
2000
IEEE
13 years 8 months ago
Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems
Abstract. Computer simulations of realistic applications usually require solving a set of non-linear partial di erential equations PDEs over a nite region. The process of obtaini...
Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Bis...
IPPS
2008
IEEE
13 years 10 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...
ICPP
2008
IEEE
13 years 10 months ago
Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication Using Index and Value Compression
Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth re...
Kornilios Kourtis, Georgios I. Goumas, Nectarios K...
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 4 months ago
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures
The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile a...
Emmanuel Agullo, Henricus Bouwmeester, Jack Dongar...