![]() Įxisting solutions leave a potentially large segment of the user community behind. Others have tightly integrated simulation with visualization to allow steering, but these generally come at high integration costs. modify OpenMP runtimes, an approach that shares our mentality of working within the constraints of existing infrastructure. extend their previous work with a JIT compiler that allows users to customize data coming through ADIOS using snippets of code written in a subset of C. Most work focuses on extreme-scale performance with less regard for the effort required in integrating simulation and visualization software, whereas we focus on the latter concern. In situ libraries can also be used to improve the performance of simulation code. introduce DataStager, a system for streaming data to staging nodes and demonstrate a performance benefit by asynchronously streaming multiple buffers at one time. proposed an HDF5-based driver that forwards the data from HDF5 calls to ParaView we give an example of our system implementing similar functionality in § 3.2. Damaris/Viz can provide a wealth of visualization and analysis opportunities due to its ability to act as a front end to both VisIt's libsim as well as ParaView's Catalyst. The dominant approach is to use the same supercomputer that is running the simulation for visualization, though potentially on just a subset of cores, in the manner of Damaris/Viz. DART uses RDMA to stage data from supercomputer to potentially separate analysis-focused resources, and a system performs computations on the data as they are in transit from one resource to another. Scientists and engineers have developed many different approaches to in situ. ![]() The primary advantage of this approach is to perform operations on data while they are still in memory, rather than forcing them through disk, thereby eliminating the most expensive component of the majority of visualization and analysis pipelines. The growing size of simulation data and the problems this poses for subsequent analysis pipelines has driven simulation authors to integrate visualization and analysis tasks into the simulation itself.
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