English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

With the progress of simulation technology, the demand for the in-situ visualization in high-performance computing is increasing. We propose a multiple-program, multiple-data (MPMD) approach to the in-situ visualization to realize interactive in-situ visualizations. We separate processor nodes in a massively parallel computer system into two parts; one devoted only to the simulation and the other devoted only to the visualization. Both the simulation and visualization programs are parallelized by MPI (Message Passing Interface). The number of MPI processes for the visualization is the same or larger than that for the simulation. The multiple camera method that we proposed in our previous study enables interactive analysis of the visualization movies thus generated. The simulation and visualization programs are separated by a layer mimicking a semipermeable membrane. It is semipermeable because information runs in one-way from the simulation to the visualization through the layer, and the layer prevents the simulation program from being affected by visualization program’s possible delay. The membrane is implemented as two independent MPI programs which correspond to the front and back faces of it. The four MPI programs (the simulation, visualization, and membrane faces) are executed at once based on an MPMD framework.

Membrane Layer Method to Separate Simulation and Visualization for Large-scale In-situ Visualizations