Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Emerging heterogeneous multiprocessors will have custom memory and bus architectures that must balance resource sharing and system partitioning to meet cost constraints. We propos...
In future high-performance systems it will be essential to balance often-conflicting objectives of performance, power, energy, and temperature under variable workload and environ...
Heather Hanson, Stephen W. Keckler, Karthick Rajam...
BOINC, a middleware system for volunteer computing, involves projects, which distribute jobs, and hosts, which execute jobs. The local (host-level) scheduler addresses two issues:...
P2P technology has been widely adopted in live streaming system for its scalability and low commercial cost. However, tree based system or mesh based system still has to face the ...