Clusters of workstations have emerged as an important platform for building cost-effective, scalable, and highlyavailable computers. Although many hardware solutions are available...
Eitan Frachtenberg, Fabrizio Petrini, Juan Fern&aa...
Much of high performance technical computing has moved from shared memory architectures to message based cluster systems. The development and wide adoption of the MPI parallel pro...
In this paper, we describe the design and implementation of an integrated architecture for cache systems that scale to hundreds or thousands of caches with thousands to millions o...
Renu Tewari, Michael Dahlin, Harrick M. Vin, Jonat...
Archival storage of sensor data is necessary for applications that query, mine, and analyze such data for interesting features and trends. We argue that existing storage systems a...
Peter Desnoyers, Deepak Ganesan, Prashant J. Sheno...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...