High-quality and low-memory-footprint progressive decoding of large-scale particle data
Particle representations are used often in large-scale simulations and observations,
frequently creating datasets containing several millions of particles or more. Due to their …
frequently creating datasets containing several millions of particles or more. Due to their …
Progressive Tree-Based Compression of Large-Scale Particle Data
Scientific simulations and observations using particles have been creating large datasets
that require effective and efficient data reduction to store, transfer, and analyze. However …
that require effective and efficient data reduction to store, transfer, and analyze. However …
Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats
Scientists generate petabytes of data daily to help uncover environmental trends or
behaviors that are hard to predict. For example, understanding climate simulations based on …
behaviors that are hard to predict. For example, understanding climate simulations based on …
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
Multi-resolution methods such as Adaptive Mesh Refinement (AMR) can enhance storage
efficiency for HPC applications generating vast volumes of data. However, their applicability …
efficiency for HPC applications generating vast volumes of data. However, their applicability …
Load-balancing parallel i/o of compressed hierarchical layouts
Scientific phenomena are being simulated at ever-increasing resolution and fidelity thanks
to advances in modern supercomputers. These simulations produce a deluge of data …
to advances in modern supercomputers. These simulations produce a deluge of data …
Investigating Data Movement Strategies for Distribution of Repartitioned Data
Repartitioning in a parallel setting can be defined as the task of redistributing data across
processes based on a newly imposed grid/layout. Repartitioning is a fundamental problem …
processes based on a newly imposed grid/layout. Repartitioning is a fundamental problem …
Compact and Progressive Encodings for Task-Adaptive Queries of Scientific Data
D Hoang - 2023 - search.proquest.com
As computational power outpaces bandwidth, handling multi-petabyte datasets, which are
easier to produce than to store or access, becomes a challenge. Traditional solutions focus …
easier to produce than to store or access, becomes a challenge. Traditional solutions focus …
[PDF][PDF] High-quality and Low-memory-footprint Progressive Compression of Large-scale Particle Data
Particle representations are used often in large-scale simulations and observations,
frequently creating datasets containing several millions of particles or more. Due to their …
frequently creating datasets containing several millions of particles or more. Due to their …
[PDF][PDF] Quantifying Performance Gains of DirectStorage for the Visualisation of Time-Dependent Particle Data Sets
C Müller, T Ertl - vis.uni-stuttgart.de
Visualisation is an essential tool for analysing unstructured particle data as they are
produced, for instance, in molecular dynamics or astrodynamics simulations. Such …
produced, for instance, in molecular dynamics or astrodynamics simulations. Such …