Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2011-10-07
Computer Science
Distributed, Parallel, and Cluster Computing
Scientific paper
This paper describes a new QR factorization algorithm which is especially designed for massively parallel platforms combining parallel distributed multi-core nodes. These platforms make the present and the foreseeable future of high-performance computing. Our new QR factorization algorithm falls in the category of the tile algorithms which naturally enables good data locality for the sequential kernels executed by the cores (high sequential performance), low number of messages in a parallel distributed setting (small latency term), and fine granularity (high parallelism).
Dongarra Jack
Faverge Mathieu
Herault Thomas
Langou Julien
Robert Yves
No associations
LandOfFree
Hierarchical QR factorization algorithms for multi-core cluster systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Hierarchical QR factorization algorithms for multi-core cluster systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hierarchical QR factorization algorithms for multi-core cluster systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-133324