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A growing gap between progress in biological knowledge and improved healthoutcomes inspired the new discipline of translational medicine, in which theapplication of new knowledge is an explicit part of a research plan. Abramsonand Parashar argue that a similar gap between complex computationaltechnologies and ever-more-challenging applications demands an analogousdiscipline of translational computer science, in which the deliberate movementof research results into large-scale practice becomes a central research focusrather than an afterthought. We revisit from this perspective the developmentand application of grid computing from the mid-1990s onwards, and find that atranslational framing is useful for understanding the technology's developmentand impact. We discuss how the development of grid computing infrastructure,and the Globus Toolkit, in particular, benefited from a translational approach.We identify lessons learned that can be applied to other translational computerscience initiatives.

Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing