We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
This paper surveys a variety of subsystems designed to be the building blocks from which sophisticated infrastructures for ubiquitous computing are assembled. Our experience shows...
Martin Modahl, Bikash Agarwalla, Gregory D. Abowd,...
Data locality is critical to achievinghigh performance on large-scale parallel machines. Non-local data accesses result in communication that can greatly impact performance. Thus ...
ions for Mobile Computation Luca Cardelli Microsoft Research Abstract. We discuss the difficulties caused by mobile computing and mobile computation over wide area networks. We pro...
In the framework of distributed object systems, this paper presents the concepts and an implementation of an overlapping mechanism between communication and computation. This mecha...