By Mark Singer
From esteemed New Yorker author Mark Singer comes this cautionary story of the Penn sq. financial institution, the oil and gasoline dealer in an Oklahoma urban shopping center whose cave in in 1982 staggered America’s banking undefined. Recounting the total astonishing tale and its colourful characters, Singer makes brilliantly (and hilariously) transparent what truly occurred and why it needed to ensue in boom-time Oklahoma. Nowhere else did cash movement in really a similar spontaneous model. [A] story of fantastic verve” (New York Times), humorous cash involves existence via Singer's shiny prose and maintains to resonate in today's tradition of company corruption.
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Instead of buying an HPC system, building another computer centre, and employing the people to support it, Novartis made an investment of roughly $400’000 in Grid software licenses and saved at least $2 million of investment that would have been necessary if new infrastructure was bought in order to gain the same computing power (Intel 2003). The Novartis Enterprise Grid created business value by improving the innovation power and competitiveness of the company. On the one hand, with the Grid it was possible to speed up time-to-market in the competitive drug development process.
The major challenges of Grid Computing applied within company boundaries can be summarized as follows: • Grid Computing is a new computing paradigm that requires considerable change in processes but also in the mindset of involved people. Careful and well-organized change management should prevent phenomena as “Sever hugging” – the unwillingness of some departments to share their resources (Goyal and Lawande 2005). 30 Katarina Stanoevska-Slabeva, Thomas Wozniak • The transformation of the existing scattered IT infrastructure into a Grid alone is not sufficient.
Back in 2003, Novartis had about 65’000 desktop PCs (Salamone 2003). It was assumed that about 90% of the computing cycles of each PC were unused. At the same time, the needs for computing power at Novartis research were constantly increasing. In general, computing power is increasingly essential to drug development. Pharmaceutical researchers rely on “in silico” experiments to explore drug actions, speed the development cycle, and reduce the need for expensive, roboticcontrolled physical experiments (Intel 2003).