The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
February 09, 2007
After having achieved some level of success, most startup companies usually end up replacing the founding CEO with a more seasoned business executive. At Interactive Supercomputing Inc. (ISC), this transition took place on January 10th, when they swapped founder and CEO Pete Peterson with Bill Blake. Peterson will remain with the company as the executive chairman of the board.
Bill Blake has been involved with high performance computing systems for more that 20 years. Before coming to ISC, he was a senior vice president of product development for Netezza, where he lead a team that developed a terascale database appliance for real-time business intelligence, employing a parallelized version of SQL. Prior to that, Blake was vice president of high performance technical computing at Compaq, where he led development and marketing efforts of HPTC solutions, including the company's AlphaServer SC supercomputers.
The fundamental reason for this executive shuffling is to move the organization from startup company to one that is more actively pursuing growth and partnership opportunities. The company currently has over 30 customers for their Star-P software product. Star-P uses a client-server model to add parallelization to very high level language environments on the desktop (initially MATLAB) to enable applications to run on HPC servers. At this point, both SGI and HP servers are supported by the Star-P platform.
Beyond support for SGI and HP hardware, ISC would also like to partner with all the other tier one system OEMs. Since Blake is a member of the board of directors for Cray, it would safe to assume their are discussions going on there as well.
The most important extension to the Star-P platform will be the delivery of the Python client later in 2007. The company sees a lot of interest in the community for a Python front-end for technical computing. They believe adding parallelization to this language will broaden their client base substantially. Over time, Blake says they would like to support other very high-level languages such as Mathematica and R (a language for statistical computing).
Beyond 2007, there are some other ideas brewing. Since Star-P contains software hooks to connect external parallel libraries to user code, the company is looking into expanding this facility to integrate FPGA acceleration software functionality. The lack of maturity in software support for FPGAs or even more traditional co-processor accelerators is something that Blake thinks could be a real opportunity for ISC.
"This is a very interesting area now," observes Blake. "In the next year or two, there are going to be some very fascinating system configurations, that will frankly require some sort of a reasonable software platform to allow people to move from traditional SMP and cluster environments into these accelerated environments."
Some accelerator support may be done in conjunction with OEM partnerships. For example, HP's use of ClearSpeed boards in some of their deployments may be an opportunity to add support for this hardware.
While Star-P early adopters range from the Air Force Research Labs to Australia's CSIRO, they have also found a sweet spot in medical image processing. In this environment, computation is typically done on the desktop by neuroscientists using MATLAB codes applied to MRI scans. But as more advanced MRI machines are used to increase resolution and speed, computing requirements of many neuroimaging applications are outstripping desktop workstations. Since languages like Fortran and C with MPI are alien to this particular domain, Star-P provides a relatively easy way to get to HPC -- assuming the lab can get access to some SGI or HP hardware.
ISC is also attracting the attention of Wall Street. Blake says they have one financial firm who has already bought the platform, although he could not disclose the company's name. Like other data- and compute-intensive workloads, financial applications are increasingly looking to HPC to get better performance and real-time turnaround. Derivative pricing applications, in particular, are being pushed beyond the limits of conventional spreadsheets and finance application tools.
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