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Finance
Financial firms face increased challenges in today's market place. During a trading week, increasingly complicated instruments are requiring exponentially more computation to value and assess risk more and more often. In the search for ever increasing compute availability, data-center managers turn to faster and hotter cluster nodes, only to run against the limits of existing power and cooling infrastructure. “With the new Maxeler technology, J.P. Morgan’s trading businesses can now compute orders of magnitude more quickly, making it possible to improve our understanding and control of the profile of our complex trading risk.”
Peter Cherasia, Head of Markets Strategies, J.P. Morgan Maxeler provides order-of-magnitude acceleration in computational risk and valuation algorithms; this is accomplished by working with Quantitative Analysts to accelerate analytical and Monte Carlo techniques by customizing the compute hardware to the tasks at hand. Customization coupled with a reduction in power and cooling, provides game-changing speed of computation while fitting comfortably within existing infrastructure limits. An overnight run can now happen in less than an hour in the afternoon the day before. “The Maxeler Dataflow Supercomputer enables J.P. Morgan to minimize its risk and respond more effectively than its competitors to rapidly changing market conditions, particularly the financial turmoil in Europe.”
John Barr, Research Director, Financial Markets & Head of EU Research, 451 Group Today Maxeler's order-of-magnitude acceleration systems run real-time risk / scenario analysis in markets such as Credit Derivatives, FX, Equities and Interest Rates, enabling better decision making on the desk. |
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