FIELDVIEW Extends CFD Analysis

By DE Editors

FIELDVIEW Version 11.1 by Intelligent Light (Rutherford, NJ) delivers new capabilities for working with large CFD simulations. The release is headlined by the availability of a new parallel implementation that delivers scalable post-processing performance to users of multi-CPU/multi-core workstations, large shared memory systems, and cluster computing environments. New data analysis,  automation, and data reading capabilities are also a part of this release. FIELDVIEW 11.1 extends the capabilities of in-depth analysis of CFD simulations while maintaining workflow integration and accessibility.

According to Intelligent Light, FIELDVIEW Parallel capabilities have been implemented for high performance on scalable computing hardware. Speed increases of five times are typical on 8 CPUs when postprocessing realistic,  multigrid CFD simulations on systems using AMD Opteron processors. FIELDVIEW Parallel capabilities are available for users of multi-CPU/multi-core workstations and HPC server users alike. FIELDVIEW 11.1 will support multigrid parallel execution on shared memory systems of up to 4 processor cores without modification or fees. Large processor counts and cluster computing are supported with an optional FIELDVIEW Parallel license. New in this release is support for HP-UX running on Itanium processors.

FIELDVIEW 11.1 enables the comparison of datasets on completely different grid systems. Functions can be created that span two or more datasets. This capability is used to evaluate, validate, assess grid refinement requirements, check convergence progress, and interpolate results to ask “next step” questions using dataset sampling.

The software can enhance FIELDVIEW FVX, which is used to automate post-processing tasks, providing an interface to the PYTHON scripting language. This fits into existing workflows and works with PYTHON-based applications such as Phoenix Integration’s ModelCenter in automated post-processing.

FIELDVIEW 11.1 includes new plug-in style readers for FLOW3D and CGNS data. The plug-in style architecture is a big advance in facilitating the development and use of readers for new solvers and data formats. Users with in-house codes and proprietary programming routines can develop and deploy custom routines and data readers without recompiling.

For more information, visit ilight.com.

Sources: Press materials received from the company and additional information gleaned from the company’s website.