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Richard and Carl talk to Michael Isard about Dryad, a grid computing and clustering project from Microsoft.

• Michael Isard received his D.Phil in computer vision from the Oxford University Engineering Science Department in 1998. In 1999 has worked for Microsoft Research in Silicon Valley since 2002. The majority of his early research was in the field of visual tracking and sequential filtering, and he helped to introduce particle filters to the computer vision community with the Condensation algorithm. Current research projects cover a range from inference methods for Bayesian networks with applications in visual tracking and dense stereo estimation; to programming models for large-scale distributed systems and many-core processor architectures. Michael led the Dryad project to build a large-scale distributed execution platform for datacenters that is now widely used internally by Microsoft product groups. He has recently started working with several colleagues on AME, a new concurrent programming model that makes use of transactional memory without explicit atomic blocks. He has also been collaborating with Andrew Zisserman's Visual Geometry Group in Oxford on various aspects of object retrieval from large databases.

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20080918MIsard.zip SHA1: 6d2651789ac08871a37c805ceba9b8565a943e72	38.88 MB

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