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
Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
