Abstract
All-pairs computations occur in numerous and diverse applications across many areas. In many-body simulations and molecular dynamics, computation of pairwise gravitational or electrostatic forces is needed to study system evolution [16]. A similar scenario occurs in computational electromagnetics except that the field is sampled in multiple directions, turning this into a vector computation [15]. In the radiosity method in computer graphics, a scene is divided into patches and the reflection and refraction of light between every pair of patches is of interest to compute the equilibrium light energy distribution [14]. In computational systems biology, correlations between pairs of genes are sought based on their expression levels over a large set of observations [32]. Clustering algorithms typically use a distance metric and use all-pairs distances to guide the clustering process [6]. While the details vary, common to these applications is computation between all pairs of entities from a given set.
| Original language | English |
|---|---|
| Title of host publication | Scientific Computing with Multicore and Accelerators |
| Publisher | CRC Press |
| Pages | 297-328 |
| Number of pages | 32 |
| ISBN (Electronic) | 9781439825372 |
| ISBN (Print) | 9781439825365 |
| DOIs | |
| State | Published - Jan 1 2010 |
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