Using off-the-shelf commodity workstations and PCs to build a cluster for parallel computing has become a common practice. A choice of a cost-effective cluster computing platform ...
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Researchers have searched for scalable alternatives to the symmetric multiprocessor (SMP) architecture since it was first introduced in 1982. This paper introduces an alternative ...
Emerging large scale utility computing systems like Grids promise computing and storage to be provided to end users as a utility. System management services deployed in the middle...