This paper explores thread scheduling on an increasingly popular architecture: chip multiprocessors with simultaneous multithreading cores. Conventional multiprocessor scheduling,...
Instruments and sensors are the primary sources of data driving science and the development and refinement of theory. A critical component of eresearch yet to be clarified is the ...
Donald F. McMullen, Ian M. Atkinson, Kenneth Chiu,...
Applications involving large sparse nonsymmetric linear systems encourage parallel implementations of robust iterative solution methods, such as GMRES(k). Two parallel versions of...
Masha Sosonkina, Donald C. S. Allison, Layne T. Wa...
The availability of large quantities of processors is a crucial enabler of many-task computing. Voluntary computing systems have proven that it is possible to build computing plat...
Rostand Costa, Francisco V. Brasileiro, Guido Lemo...
This paper studies the problem of updates in decentralised and self-organising P2P systems in which peers have low online probabilities and only local knowledge. The update strate...