Grid Computing Needs Parallel Data and Processing Layers


Michael V. DiStefano, CEO at consultancy Integrasoft, discusses how grid computing needs a parallel, easily accessible distributed data layer.

Grid computing evolved in the scientific and defense communities specifically to support parallel processing of large data sets, but it is quickly finding a new home among financial services firms.

Current financial uses of grid technology have centered around pricing and management of derivative and mortgage -backed instruments.

To get the most out of grid

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