We describe MW – a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the computationalgrid. MW ...
Jean-Pierre Goux, Sanjeev Kulkarni, Jeff Linderoth...
Current processor allocation techniques for highly parallel systems are based on centralized front-end based algorithms. As a result, the applied strategies are restricted to stat...
A new RAID-x (redundant array of inexpensive disks at level x) architecture is presented for distributed I/O processing on a serverless cluster of computers. The RAID-x architectu...
We present the CAVEStudy system that enables scientists to interactively steer a simulation from a virtual reality (VR) environment. No modification to the source code is necessa...
Luc Renambot, Henri E. Bal, Desmond Germans, Hans ...
Increased platform heterogeneity and varying resource availability in distributed systems motivates the design of resource-aware applications, which ensure a desired performance l...