Sep 23, 2011 · This paper explores the space of effective parallel execution of ephemeral graphs that are dynamically generated using the Barnes-Hut algorithm ...
Abstract. The scalability and efficiency of graph applications are significantly constrained by conventional systems and their supporting programming models ...
This paper explores the parallel execution of graphs that are generated using the Barnes–Hut algorithm to exemplify dynamic workloads. The workloads are ...
This paper explores the parallel execution of graphs that are generated using the Barnes–Hut algorithm to exemplify dynamic workloads and finds improved ...
This paper explores the space of effective parallel execution of ephemeral graphs that are dynamically generated using the Barnes-Hut algorithm to exemplify ...
[1109.5190] Improving the scalability of parallel N-body applications ...
ar5iv.labs.arxiv.org › html
This paper explores the space of effective parallel execution of ephemeral graphs that are dynamically generated using the Barnes-Hut algorithm to exemplify ...
The scalability and efficiency of graph applications are significantly constrained by conventional systems and their supporting programming models.
Improving the scalability of parallel N-body applications with an event-driven constraint-based execution model. The scalability and efficiency of graph ...
Improving the scalability of parallel N-body applications with an event-driven constraint-based execution model. C Dekate, M Anderson, M Brodowicz, H Kaiser ...
[PDF] Alice Koniges, Lawrence Berkeley National Laboratory, aekoniges ...
www.nersc.gov › pubs_presos
Sterling, “Improving the Scalability of Parallel N-body Applications with an Event- driven Constraint-based Execution Model,” International Journal of High ...