Related Experiment Video
Updated: May 29, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
Published on: January 10, 2019
Pairwise verlet lists: combining cell lists and verlet lists to improve memory locality and parallelism
1Mathematical Institute, University of Oxford, Oxford United Kingdom. gonnet@maths.ox.ac.uk
Abstract:
Verlet lists, which are commonly used in many particle-based simulations, are not suited for modern, shared-memory parallel multicore architectures. In this article, we introduce pairwise Verlet lists: local Verlet lists containing only interacting particle pairs between a pair of neighboring computational cells. We show that these pairwise Verlet lists are more efficient and scale much better than the traditional global Verlet list, both on a single processor as well as on multiple shared-memory cores. The improved performance on a single core makes them an interesting option for distributed-memory simulations as well.
Related Concept Videos
Parallel Processing
Law of Independent Assortment
Law of Independent Assortment
Combinatorial Gene Control
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Viral Recombination
Combining Functions
