|
|
|
|
|
Piotr Luszczek,Jakub Kurzak,Ichitaro Yamazaki,David Keffer,Vasileios Maroulas,Jack Dongarra
Pág. 42 - 61
We present an autotuning approach applied to exhaustive performance engineering of the EM-ICP algorithm for the point set registration problem with a known reference. We were able to achieve progressively higher performance levels through a variety of co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander S Antonov,Jack Dongarra,Vladimir Voevodin
Pág. 4 - 10
The AlgoWiki project is dedicated to describing the parallel structure and key features of various algorithms. The descriptions are intended to provide complete information about algorithm's properties, which are needed to adequately assess their impleme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jakub Kurzak,Piotr Luszczek,Ichitaro Yamazaki,Yves Robert,Jack Dongarra
Pág. 4 - 26
The objective of the PULSAR project was to design a programming model suitable for large scale machines with complex memory hierarchies, and to deliver a prototype implementation of a runtime system supporting that model. PULSAR tackled th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladimir V. Voevodin,Alexander S. Antonov,Jack Dongarra
Pág. 4 - 18
The main goal of this project is to formalize the mapping of algorithms onto the architecture of parallel computing systems. The basic idea is that features of algorithms are independent of any computing system. A detailed description of a given algorith...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jack Dongarra,M. Abalenkovs,A. Abdelfattah,M. Gates,A. Haidar,J. Kurzak,P. Luszczek,S. Tomov,I. Yamazaki,A. YarKhan
Pág. 67 - 86
We present a review of the current best practices in parallel programming models for dense linear algebra (DLA) on heterogeneous architectures. We consider multicore CPUs, stand alone manycore coprocessors, GPUs, and combinations of these. Of interest is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jack Dongarra,Azzam Haidar,Jakub Kurzak,Piotr Luszczek,Stanimire Tomov,Asim YarKhan
Pág. 85 - 115
Hardware heterogeneity of the HPC platforms is no longer considered unusual but instead have become the most viable way forward towards Exascale. In fact, the multitude of the heterogeneous resources available to modern computers are designed for d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moura, J.M.F.; Puschel, M.; Padua, D.; Dongarra, J.
Pág. 211 - 215
|
|
|
|
|
|
|
|
|
|
|
Demmel, J.; Dongarra, J.; Eijkhout, V.; Fuentes, E.; Petitet, A.; Vuduc, R.; Whaley, R.C.; Yelick, K.
Pág. 293 - 312
|
|
|
|
|
|
|
|
|
|
|
Petitet, A P; Dongarra, J J
Pág. 1201 - 1216
|
|
|
|
|
|
|
|
|
|
|
Desprez, F; Dongarra, J; Petitet, A; Randriamaro, C; Robert, Y
Pág. 192 - 205
|
|
|
|
|
|