Continuous Simulation Data Stream: A dynamical timescale-dependent output scheme for simulations
Loic Hausammann, Pedro Gonnet, Matthieu Schaller

TL;DR
The paper introduces the Continuous Simulation Data Stream (CSDS), a novel output scheme for large-scale simulations that efficiently captures fast events and reduces storage needs by leveraging individual time steps and interpolation.
Contribution
CSDS is a new output method that records simulation data at particle-specific frequencies, enabling accurate reconstruction at any time with reduced storage.
Findings
Reduces storage space by 2.76x for same accuracy
Increases accuracy by 67.8x for same storage
Maintains acceptable reading speed for analysis
Abstract
Exa-scale simulations are on the horizon but almost no new design for the output has been proposed in recent years. In simulations using individual time steps, the traditional snapshots are over resolving particles/cells with large time steps and are under resolving the particles/cells with short time steps. Therefore, they are unable to follow fast events and use efficiently the storage space. The Continuous Simulation Data Stream (CSDS) is designed to decrease this space while providing an accurate state of the simulation at any time. It takes advantage of the individual time step to ensure the same relative accuracy for all the particles. The outputs consist of a single file representing the full evolution of the simulation. Within this file, the particles are written independently and at their own frequency. Through the interpolation of the records, the state of the simulation can…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Simulation Techniques and Applications · Scientific Computing and Data Management
