Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficie...
James Tuck, Wonsun Ahn, Luis Ceze, Josep Torrellas
Abstract. Replication is a fundamental technique for increasing throughput and achieving fault tolerance in distributed data services. However, its implementation may induce signif...
Laurent Michel, Alexander A. Shvartsman, Elaine L....
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
There exist a lot of models of parallel computation, amongst which LogP and LogGP are famous and suitable to describe the framework of communication process of Beowulf LINUX Clust...
Abstract. We present an efficient and practical lock-free implementation of a concurrent deque that supports parallelism for disjoint accesses and uses atomic primitives which are ...