GOVERNMENT
Star-P On-Demand: easy, affordable pay-per-use supercomputing for the masses
- Leverage on-demand computing resources for project workflow improvements;
- Use Star-P On-Demand to address overflow computing requirements or short-term computing needs without having to invest in new hardware and infrastructure;
- Access hardware and software for long-term production needs when the parallel hardware and software tools are not available internally.
According to Jie Wu, research manager with the Technical Computing group at industry analyst firm IDC, the HPC market is growing strong thanks largely to new entrants coming in at the mid- to low-end of the market. "For those new to HPC as well as those on the lookout for migration, 'ease of everything' is the number one requirement," she said. "Star-P On-Demand not only provides easy and flexible access for scientists, engineers and analysts to high-end computing resources without having to go through the lengthy learning curve, but it also eliminates the hefty investments in high-end computing for customers across the board." Star-P On-Demand enables researchers to easily code algorithms and models remotely on their desktops using popular high-level languages like MATLAB, and Python, automatically transforming the programs to run on multicore and multiprocessor hardware. The Star-P software eliminates the need to re-program the applications in complex languages such as C, FORTRAN or MPI (message passing interface) in order to run on Tsunamic Technologies' Linux cluster. "When users are ready to run their application, they submit it to the cluster via the Internet for processing. The application is automatically executed on the next available nodes, resulting in dramatic productivity improvements for users who have had to work within the limitations of their desktops," said David Gibson, ISC's vice president of sales. Star-P On-Demand cost and service details Users can access Star-P On-Demand for a test or trial period using a 20 CPU-hour trial account. They can then access the service in a pay-as-you-go mode for less then $3.00 U.S. per CPU-hour for further development, or they can purchase monthly packages of core hours at discount pricing. For more information about the service, please visit its Web site.