Umetrics has announced the release of version 13.3 of SIMCA-online, a real-time prediction system for the process industry
Umetrics has introduced version 10 of Modde, an off-the-shelf, Windows-based software solution for Design of Experiments (DOE)
Umetrics has launched a new version of SIMCA-online 13.1, an off-the-shelf, Windows-based software solution, providing multivariate process monitoring for continuous and batch processes
Umetrics releases SIMCA-online 13 process monitoring multivariate analysis software
Umetrics has released version 13 of its multivariate data analysis software for scientists and engineers, Simca
Umetrics has released version 3.4 of Simca-Batch On-Line (SBOL). SBOL is an off-the-shelf, Windows-based software, providing multivariate statistical process control and batch statistical process control (BSPC) for batch processes
Umetrics has released version 12 of its SIMCA-4000 multivariate statistical process control (MSPC) software for real-time monitoring and prediction of continuous processes
Umetrics has released a 64-bit edition of its multivariate data analysis software SIMCA-P+ (currently in version 12.01) designed to accommodate very large data sets.
Umetrics, a provider of multivariate data analysis software and training, has released it Simca Batch On-Line (SBOL) version 3.3.
Umetrics has released v12 of Simca-Q, a real-time multivariate calculation engine for continuous batch processes.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
