Mars
Hong Kong University of Science and Technology · Microsoft (United States) · +1 more institution
Abstract
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of development of web search applications on a large number of commodity CPUs. Compared with CPUs, GPUs have an order of magnitude higher computation power and memory bandwidth, but are harder to program since their architectures are designed as a special-purpose co-processor and their programming interfaces are typically for graphics applications. As the first attempt to harness GPU's power for MapReduce, we developed Mars on an NVIDIA G80 GPU, which contains over one hundred processors, and evaluated it in comparison with Phoenix, the…
Citation impact
- FWCI
- 129.46
- Percentile
- 100%
- References
- 27
Authors
5Topics & keywords
- Computer science
- Parallel computing
- Coprocessor
- Mars Exploration Program
- Graphics
- Programming paradigm
- CUDA
- Operating system