As computing breaches petascale limits both in processor performance and storage capacity, the only way that current and future gains in performance can be achieved is by increasi...
We study the problem of exploiting parallelism from search-based AI systems on distributed machines. We propose stack-splitting, a technique for implementing orparallelism, which ...
In this paper, we propose a semi distributed approach, for load balancing in large parallel and distributedsystems. Theproposedschemeisa twolevel hierarchical scheme which partiti...
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
This paper focuses on load management in looselycoupled federated distributed systems. We present a distributed mechanism for moving load between autonomous participants using bil...
Magdalena Balazinska, Hari Balakrishnan, Michael S...