Interactive Supercomputing has added powerful new imaging capabilities to its Star-P technical computing software, boosting productivity by executing functions up to 30 times faster than competing tools
The latest version of Interactive Supercomputing's Star-P software for managing workloads across HPC applications now includes support for the SGI Altix ICE line of blade servers, as well as Platform LSF software.
Interactive Supercomputing (ISC) has introduced a new version of its Star-P software for parallel programming, with increased support from different programming languages, operating systems and workload management platforms.
Interactive Supercomputing is to release Version 2.6 of Star-P at SC07. The software is compatible with Windows Vista, and includes hundreds of new mathematical functions with parallel file I/O.
Interactive Supercomputing has unveiled a new version of its Star-P software designed to accelerate time-to-discovery and boost productivity for users in the life sciences industries.
Interactive Supercomputing has released an updated version of Star-P software, designed for users of Python. The new version offers huge productivity gains for Python users who need to solve computationally intensive problems.
Accelerate your MATLAB® and Python codes 10X-100X with Star-P™. Work with 10X-100X larger data sets. Avoid parallel programming in C/Fortran/MPI. Guide offers the latest on key issues, concepts, and applications.
Star-P enables easy parallel computing on multi-core servers and clusters; Accelerate time-to-insight for large and complex problems; Leverage existing MATLAB codes and environment; Eliminate C, Fortran, MPI programming.
Star-P enables easy parallel computing on multi-core servers and clusters; Accelerate time-to-insight for large and complex problems; Leverage existing MATLAB codes and environment; Eliminate C, Fortran, MPI programming
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A round-up of the latest cooling technologies for scientists using HPC to support their research.
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With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
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Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
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The pursuit of exascale HPC systems has been a target of the HPC community since the first petaflop system broke into the Top500 in the June 2008 edition of the biannual list of the fastest supercomputers based on the Linpack
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Simulation software is helping accelerate battery development, writes Gemma Church
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Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for
