Visual Numerics has introduced PV-Wave Version 9.0, the latest version of its visual data analysis software, with new analysis features, expanded usability and performance, and broader platform support.

The software allows engineers and scientists to build visual analysis applications. It can be used for the data mining of large and complex data sets to better understand trends, patterns and anomalies in data.

Embedded analytics from the IMSL C Library provide both backward analysis and forward predictions on collected data, while the robust PV-Wave graphics and visualisation engine efficiently illustrates data sets using n-dimensional charts, heat maps, and contour maps.


For functionality and security for externalised research, software providers have turned to the cloud, writes Sophia Ktori


Robert Roe investigates the growth in cloud technology which is being driven by scientific, engineering and HPC workflows through application specific hardware


Robert Roe learns that the NASA advanced supercomputing division (NAS) is optimising energy efficiency and water usage to maximise the facility’s potential to deliver computing services to its user community


Robert Roe investigates the use of technologies in HPC that could help shape the design of future supercomputers