MathWorks has introduced Release 2013b (R2013b) of its Matlab and Simulink product families
MathWorks has introduced Release 2013a (R2013a) of its Matlab and Simulink product families
MathWorks has introduced major updates to Matlab and Simulink with Release 2012b
The MathWorks has announced support for Nvidia GPUs in Matlab applications using Parallel Computing Toolbox or Matlab Distributed Computing Server
The Mathworks has announced Release 2010b of its Matlab and Simulink product families, containing a host of new features
The MathWorks has launched the latest version of SimBiology, including new features and enhanced performance capabilities, including multiple dosing schemes, for pharmacokinetic/pharmacodynamic (PK/PD) modelling and simulation of biological systems
The MathWorks has launched Release 2010a (R2010a) of its Matlab and Simulink product families
The MathWorks has introduced Simulink Control Design 3.0, equipped with new features that automate the process of tuning proportional-integral-derivative (PID) controllers. New PID Controller blocks have also been released
The MathWorks has announced Release 2009b (R2009b) of its Matlab and Simulink product families. R2009b includes features for faster performance and enhanced handling of large data sets, builds on component-based modelling features in Simulink
The MathWorks has introduced new versions of its Matlab parallel computing products, including Parallel Computing Toolbox, Matlab Distributed Computing Server and other products in the Matlab and Simulink product families
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
