Star-P image function library
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
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
Robert Roe explores advances in CPU, accelerator and networking hardware that is being designed to support exascale.
Professor Dieter Kranzlmüller of Leibniz Supercomputing Centre (LRZ) outlines the work of the facility
A round-up of the latest products for scientists using networking technologies
A round-up of the latest storage products and technology available for scientists using HPC