RT info:eu-repo/semantics/conferenceObject
T1 Integrating dense and sparse data partitioning
A1 Fresno Bausela, Javier
A1 González Escribano, Arturo
A1 Llanos Ferraris, Diego Rafael
K1 Informática
K1 Data partition
K1 Layouts
K1 Distributed computing
K1 Sparse
K1 1203 Ciencia de Los Ordenadores
K1 3304 Tecnología de Los Ordenadores
AB Layout methods for dense and sparse data are often seen as two separate problems with its own particular techniques. However, they are based on the same basic concepts. This paper studies how to integrate automatic data-layout and partition techniques for both dense and sparse data structures. In particular, we show how to include support for sparse matrices or graphs in Hitmap, a library for hierarchical tiling and automatic mapping of arrays. The paper shows that is possible to offer a unique interface to work with both dense and sparse data structures, without losing significant performance. Thus, the programmer can use a single and homogeneous programing style, reducing the development effort and simplifying the use of sparse data structures in parallel computations.
PB Universidad de Salamanca
SN 978-84-614-6167-7
YR 2011
FD 2011
LK https://uvadoc.uva.es/handle/10324/71227
UL https://uvadoc.uva.es/handle/10324/71227
LA eng
NO 11th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2011, Cadiz, Spain, june 2011.
NO Producción Científica
DS UVaDOC
RD 18-abr-2025