Accelerators and heterogeneous architectures in general, and GPUs in particular, have recently emerged as major players in high performance computing. For many classes of applications, MapReduce has emerged as the framework for easing parallel programming and improving programmer productivity. There
โฆ LIBER โฆ
[ACM Press the 21st international symposium - Delft, The Netherlands (2012.06.18-2012.06.22)] Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing - HPDC '12 - Optimizing MapReduce for GPUs with effective shared memory usage
โ Scribed by Chen, Linchuan; Agrawal, Gagan
- Book ID
- 118239845
- Publisher
- ACM Press
- Year
- 2012
- Weight
- 595 KB
- Category
- Article
- ISBN
- 1450308058
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