We present Task Superscalar, an abstraction of instruction-level out-of-order pipeline that operates at the tasklevel. Like ILP pipelines, which uncover parallelism in a sequential...
Yoav Etsion, Felipe Cabarcas, Alejandro Rico, Alex...
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...
Today’s object-relational DBMSs (ORDBMSs) are designed to support novel application domains by providing an extensible architecture, supplemented by domain-specific database ex...
Many cooperative overlay multicast systems of diverse designs have been implemented and deployed. In this paper, we explore a new architecture for overlay multicast: we factor out...
Animesh Nandi, Aditya Ganjam, Peter Druschel, T. S...