- Even though state-of-the-art FPGAs present new opportunities in exploring low-cost high-performance architectures for floating-point scientific applications, they also pose serio...
Software components turn out to be a convenient model to build complex applications for scientific computing and to run them on a computational grid. However, deploying complex, co...
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Scientists today conduct new research via software-based experimentation and validation in a host of disciplines, including materials science, life sciences, astronomy, and physic...
David Woollard, Chris Mattmann, Daniel Popescu, Ne...
: Computational and data Grids couple geographically distributed resources such as high performance computers, workstations, clusters, and scientific instruments. Grid Workflows co...
David Abramson, Jagan Kommineni, John L. McGregor,...