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- Jun 27, 2006
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- 23,048
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- #1
Building applications that are responsive and can exploit parallel hardware poses an important challenge. In particular, enabling applications to execute various tasks in parallel can be difficult if those tasks exhibit read and write conflicts. Revisions are forked and joined much like asynchronous tasks. However, rather than accessing global shared data directly (and thereby risking data races or atomicity violations), all revisions execute on a (conceptual) copy of the shared state, a "global mutable snapshot" so to speak. Any changes performed in a revision apply to that snapshot only, until the revision is joined at which the [sic] changes become globally effective [source = Link Removed].
Here, Link Removedinterrogates (in a nice way) computer scientists Link Removed and Link Removed, the researchers behind Revisions. As usual, Erik asks great questions and the scientists spend much of the time at the whiteboard, drawing and writing answers to clearly explain what revisions are, how they work, and why this model matters. In a nice twist of fate, Erik was Daan's PhD advisor at Utrecht University in the Netherlands (that must have been awesome—lucky Daan!).
Revisions are yet another example of the great work coming out of the Link Removed group in MSR.
Link Removed
Link Removed
Here, Link Removedinterrogates (in a nice way) computer scientists Link Removed and Link Removed, the researchers behind Revisions. As usual, Erik asks great questions and the scientists spend much of the time at the whiteboard, drawing and writing answers to clearly explain what revisions are, how they work, and why this model matters. In a nice twist of fate, Erik was Daan's PhD advisor at Utrecht University in the Netherlands (that must have been awesome—lucky Daan!).
Revisions are yet another example of the great work coming out of the Link Removed group in MSR.
Link Removed
Link Removed