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In this paper, we propose a novel method of pairwise simulation that saves a significant amount of computation time by predicting possible future outcomes ...
Mar 1, 2012 · In this paper, we propose a novel method of pairwise simulation that saves a significant amount of computation time by predicting possible ...
Our algorithm will use a slightly more complex subroutine predict(o1,o2) that returns the time an intersection is likely to occur, and enters it into an event.
"Scalable N-Body Event Prediction" by Steven Braeger, Nicholas ...
stars.library.ucf.edu › scopus2010
In this article, we describe the design, development and testing of two online courses that applied an innovative, storytelling approach to instructional design ...
from publication: Scalable n-body event prediction | The general simulation of n-body systems often requires the simulation of pairwise interaction events ...
This paper describes our experiences developing high-performance code for astrophysical N-body simulations. Recent N-body methods are based on an adaptive ...
In physics, the n-body problem is the problem of predicting the individual motions of a group of celestial objects interacting with each other gravitationally.
This paper explores the parallel execution of graphs that are generated using the Barnes–Hut algorithm to exemplify dynamic workloads. The workloads are ...
Aug 12, 2024 · We present Prophet, a transformer-based computational model for cellular phenotype prediction. Prophet learns a representation of the cell ...
1 becomes more scalable with a large number of workers. In the worst case, our new lazy event prediction strategy is w/ log2(w) times faster than the OoO.