Develve has announced the availability of its new statistical software package Develve 1.2
Maplesoft and Desire2Learn have announced their partnership to create a joint integration, D2L's Maple T.A. Connector, which offers a smooth and streamlined experience for users of both technologies
OriginLab, a publisher of data analysis and graphing software, has announced the release of Origin and OriginPro version 9.1
Unistat 6.5 offers a powerful statistical tool, with little or no learning curve, without ever having to leave Excel
The Numerical Algorithms Group has announced the latest release of its NAG Toolbox for Matlab to Mark 24, which NAG says is the world's most comprehensive single Toolbox for Matlab
Lhasa has announced the development of Sarah Nexus, a statistical (Q)SAR methodology for the prediction of mutagenicity from chemical structure
PerkinElmer is to distribute the new OmicsOffice genomics software from Integromics in a worldwide agreement
StatSoft has introduced Statistica HP, the latest release of version 12 of the Statistica analytics platform, designed to utilise information contained in extremely large data sets using massively parallel and in-memory processing
Palisade has released version 6.0 of its DecisionTools Suite package for Microsoft Excel
The OmicsOffice platform for the analysis and integration of genomics data from NGS, qPCR and microarrays technologies has been released by Integromics
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
