Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...
Scheduling large amounts of tasks in distributed computing platforms composed of millions of nodes is a challenging goal, even more in a fully decentralized way and with low overhe...
Developing parallel applications is notoriously difficult, but is even more complex for desktop applications. The added difficulties are primarily because of their interactive nat...
Desktop Grids are rapidly gaining popularity as a costeffective computing platform for the execution of applications with extensive computing needs. As opposed to grids and cluste...
As multi-cores arrive for mainstream desktop systems, developers must invest the effort to parallelize their applications. We present Parallel Task (short ParaTask), a solution to ...