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A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications
(The Eurographics Association, 2012)
Large-scale analysis and visualization is becoming increasingly important as supercomputers and their simulations produce larger and larger data. These large data sizes are pushing the limits of traditional rendering ...
Revisiting Parallel Rendering for Shared Memory Machines
(The Eurographics Association, 2011)
Increasing the core count of CPUs to increase computational performance has been a significant trend for the better part of a decade. This has led to an unprecedented availability of large shared memory machines. Programming ...
Remote Large Data Visualization in the ParaView Framework
(The Eurographics Association, 2006)
Scientists are using remote parallel computing resources to run scientific simulations to model a range of scientific problems. Visualization tools are used to understand the massive datasets that result from these ...
Approaches for In Situ Computation of Moments in a Data-Parallel Environment
(The Eurographics Association, 2020)
Feature-driven in situ data reduction can overcome the I/O bottleneck that large simulations face in modern supercomputer architectures in a semantically meaningful way. In this work, we make use of pattern detection as a ...
PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators
(The Eurographics Association, 2012)
Due to the wide variety of current and next-generation supercomputing architectures, the development of highperformance parallel visualization and analysis operators frequently requires re-writing the underlying algorithms ...
Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering
(The Eurographics Association, 2021)
Data-parallel programming (DPP) has attracted considerable interest from the visualization community, fostering major software initiatives such as VTK-m. However, there has been relatively little recent investigation of ...