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.
Star-P 2.5 for Life Sciences is an interactive parallel computing platform that enables users to code algorithms and models on their desktops using popular tools like Python or Matlab, but run them instantly and interactively on parallel high performance computers (HPCs). It eliminates the need to re-program the applications in C, Fortran or MPI to run on parallel systems – which typically takes months to complete for large, complex problems.
The new Star-P 2.5 for Life Sciences features a number of performance improvements key to life science research, including the ability to work with much larger data sets – up to four terabytes across 512 processors.
Star-P 2.5 for Life Sciences also features a 200-300 per cent performance improvement for fast Fourier transform functions on distributed data, which are commonly used in life sciences signal and image processing applications.
To boost productivity even further, the new version offers a tool that lets users see real-time graphical analysis of how well programs execute, allowing optimisation of the code structure for better performance.
Through its collocated install configuration, Star-P can also turn multi-processor workstations into parallel application development systems.