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The next level, and biggest payback, is often referred to as "fine grain" parallelization. This is more difficult than coarse grain because it requires that the application itself be modified.
This challenge is especially significant for applications that drive critical decision-making. Examples include R&D strategies in the pharmaceutical and biotech industry, risk and portfolio balancing decisions in the investment industry, and exploration choices in energy development.
In all cases, these models tend to be intensely complex and algorithm-specific. Simply splitting the inputs is not enough to meet elapsed time reduction goals. At this level of complexity, chunking the application may significantly reduce the elapsed time -- and may even give different results.
To take advantage of grid computing, these complex applications require more sophisticated analysis and an implementation toolkit. This is especially true for Monte Carlo-based algorithms that use very specific random number generators; non-linear (quasi-Newtonian calculations) such as non-linear mixed effect models; and linear algebra-based calculations, or geometric calculations used for molecular dynamics. For these, the answer lies in a new concept: the application grid, the latest evolution on the road to more effectively exploiting the capacity made available by the processor grid.
The application grid is independent of the processor grid; it not only parallelizes the computation, enabling it to run across multiple CPUs -- it also retains the mathematical integrity and provides the necessary granularity to achieve the reduced elapsed time results and scalability.
By enabling even the most complex, mission-critical business applications to leverage the resources made available by the processor grid, while avoiding any costly and time-consuming "application surgery" and retaining all algorithms and underlying logic, the application grid offers companies the best of both worlds -- faster and better decisions.
IT Manager’s Journal | Grid computing can aid complex applications
Building upon the company"s effort to foster world class research and create leadership opportunities for Hispanic students in information technology and engineering, IBM today announced it is teaming with Florida International University, University of Puerto Rico at Mayaguez, University of Miami, Barcelona Supercomputing Center and Monterrey Tech to invest in the Latin American Grid initiative.
The LA Grid (pronounced "lah grid") program will link faculty, students and researchers from the world renowned IBM T.J. Watson Research Centers across the United States, Latin America and Spain to collaborate on innovative industry projects for applications in areas such as health care, life sciences and nanotechnology; and in regionally-specific concerns like hurricane mitigation. The use of a shared research and educational platform based on grid computing technology is made possible through Shared University Research awards intended to foster collaborative research and innovation between academia and industry.
Hispanic Business - IBM and Universities Launch Latin American Grid Computing Initiative
