Abstract. The nano-threads programming model was proposed to effectively integrate multiprogramming on shared-memory multiprocessors, with the exploitation of fine-grain parallelis...
Dimitrios S. Nikolopoulos, Eleftherios D. Polychro...
The convergence of iterative methods used to solve the linear systems arising in incompressible flow problems is sensitive to flow parameters such as the Reynolds number, time s...
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
—Computing systems will grow significantly larger in the near future to satisfy the needs of computational scientists in areas like climate modeling, biophysics and cosmology. S...
Although algorithms that employ dynamic reconfiguration are extremely fast, they need the underlying architecture to change structure very rapidly, possibly at each step of the c...