— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
Virtual machines can greatly simplify wide-area discomputing by lowering the level of abstraction to the benefit of both resource providers and users. Networking, however, can be ...
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
HPAM Sim is an execution-driven simulator of heterogeneous machines. HPAM Sim allows the simulation of target machines consisting of different processors and interconnection netwo...
This paper presents a machine configuration system which stores all configuration parameters in a central ``database''. The system is dynamic in the sense that machines ...