The design and implementation of an object-oriented toolkit for 3D graphics and visualization
Proceedings of the 7th conference on Visualization '96
An evaluation of parallel job scheduling for ASCI Blue-Pacific
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
A Steering Environment for Online Parallel Visualization of Legacy Parallel Simulations
DS-RT '06 Proceedings of the 10th IEEE international symposium on Distributed Simulation and Real-Time Applications
Concurrent Visualization in a Production Supercomputing Environment
IEEE Transactions on Visualization and Computer Graphics
Adaptable, metadata rich IO methods for portable high performance IO
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
In Situ Visualization at Extreme Scale: Challenges and Opportunities
IEEE Computer Graphics and Applications
Extreme Scaling of Production Visualization Software on Diverse Architectures
IEEE Computer Graphics and Applications
In Situ Visualization for Large-Scale Combustion Simulations
IEEE Computer Graphics and Applications
An HDF5 MPI virtual file driver for parallel in-situ post-processing
EuroMPI'10 Proceedings of the 17th European MPI users' group meeting conference on Recent advances in the message passing interface
Parallel volume rendering on the IBM Blue Gene/P
EG PGV'08 Proceedings of the 8th Eurographics conference on Parallel Graphics and Visualization
High end scientific codes with computational I/O pipelines: improving their end-to-end performance
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Poster: exascale in-situ visualization using raytracing
Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion
In-situ I/O processing: a case for location flexibility
Proceedings of the sixth workshop on Parallel Data Storage
A distributed data-parallel framework for analysis and visualization algorithm development
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Parallel I/O, analysis, and visualization of a trillion particle simulation
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
User-steering of HPC workflows: state-of-the-art and future directions
Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies
Exploring power behaviors and trade-offs of in-situ data analytics
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
On-demand unstructured mesh translation for reducing memory pressure during in situ analysis
UltraVis '13 Proceedings of the 8th International Workshop on Ultrascale Visualization
A model for optimizing file access patterns using spatio-temporal parallelism
UltraVis '13 Proceedings of the 8th International Workshop on Ultrascale Visualization
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There is a widening gap between compute performance and the ability to store computation results. Complex scientific codes are the most affected since they must save massive files containing meshes and fields for offline analysis. Time and storage costs instead dictate that data analysis and visualization be combined with the simulations themselves, being done in situ so data are transformed to a manageable size before they are stored. Earlier approaches to in situ processing involved combining specific visualization algorithms into the simulation code, limiting flexibility. We introduce a new library which instead allows a fully-featured visualization tool, VisIt, to request data as needed from the simulation and apply visualization algorithms in situ with minimal modification to the application code.