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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Robert Roe takes a look at the cloud technologies available to researchers using HPC
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Robert Roe takes a look at the server options that are available to scientists using HPC as a tool for research high performance computing
