An Architecture-aware Technique for Optimizing Sparse Matrix-vector Multiplication on GPUs
โ Scribed by Maggioni, Marco; Berger-Wolf, Tanya
- Book ID
- 122962740
- Publisher
- Elsevier
- Year
- 2013
- Tongue
- English
- Weight
- 330 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1877-0509
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๐ SIMILAR VOLUMES
This Book Constitutes The Refereed Proceedings Of The 9th International Workshop On Architectures, Modeling, And Simulation, Samos 2009, Held On Samos, Greece, On July 20-23, 2009. The 18 Regular Papers Presented Were Carefully Reviewed And Selected From 52 Submissions. The Papers Are Organized In T
We propose different implementations of the sparse matrixdense vector multiplication (SpMV) for finite fields and rings Z /m Z. We take advantage of graphic card processors (GPU) and multi-core architectures. Our aim is to improve the speed of SpMV in the LinBox library, and henceforth the speed of