Christophe Poulain

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— Applying high level parallel runtimes to data/compute intensive applications is becoming increasingly common. The simplicity of the MapReduce programming model and the availability of open source MapReduce runtimes such as Hadoop, are attracting more users to the MapReduce programming model. Recently, Microsoft has released DryadLINQ for academic use,(More)
We live in an era in which scientific discovery is increasingly driven by data exploration of massive datasets. Scientists today are envisioning diverse data analyses and computations that scale from the desktop to supercomputers, yet often have difficulty designing and constructing software architectures to accommodate the heterogeneous and often(More)
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