Abstract: A computer-readable storage medium stores computer-executable instructions that, when executed by a processor, perform operations including scheduling first and second threads to operate independently on first and second partitions of data. The operations include beginning a first operation on the first and second partitions by the first and second threads, respectively. The operations include tracking progress of the first operation by the first and second threads using a replicated data structure. The operations include, for a record on which the first operation will be performed, adding an entry to the replicated data structure with a timestamp indicating an epoch and iteration. The operations include determining a number of yet-to-be-processed records for a selected entry of the replicated data structure. The selected entry has the most recent timestamp for the first thread. The operations include terminating the first thread when the number of yet-to-be-processed records for the selected entry is zero.

Abstract: A computer-readable storage medium stores computer-executable instructions that, when executed by a processor, perform operations including scheduling first and second threads to operate independently on first and second partitions of data. The operations include beginning a first operation on the first and second partitions by the first and second threads, respectively. The operations include tracking progress of the first operation by the first and second threads using a replicated data structure. The operations include, for a record on which the first operation will be performed, adding an entry to the replicated data structure with a timestamp indicating an epoch and iteration. The operations include determining a number of yet-to-be-processed records for a selected entry of the replicated data structure. The selected entry has the most recent timestamp for the first thread. The operations include terminating the first thread when the number of yet-to-be-processed records for the selected entry is zero.

Abstract: Various embodiments provide techniques for working with large-scale collections of data pertaining to real world systems, such as a social network, a roadmap/GPS system, etc. The techniques perform incremental, iterative, and interactive parallel computation using a coordination clock protocol, which applies to scheduling computations and managing resources such as memory and network resources, etc., in cyclic graphs including those resulting from a differential dataflow model that performs computations on differences in the collections of data.

Abstract: The techniques discussed herein efficiently perform data-parallel computations on collections of data by implementing a differential dataflow model that performs computations on differences in the collections of data. The techniques discussed herein describe defined operators for use in a data-parallel program that performs the computations on the determined differences between the collections of data by creating a lattice and indexing the differences in the collection of data according to the lattice.

Abstract: Various embodiments provide techniques for working with large-scale collections of data pertaining to real world systems, such as a social network, a roadmap/GPS system, etc. The techniques perform incremental, iterative, and interactive parallel computation using a coordination clock protocol, which applies to scheduling computations and managing resources such as memory and network resources, etc., in cyclic graphs including those resulting from a differential dataflow model that performs computations on differences in the collections of data.

Abstract: The techniques discussed herein efficiently perform data-parallel computations on collections of data by implementing a differential dataflow model that performs computations on differences in the collections of data. The techniques discussed herein describe defined operators for use in a data-parallel program that performs the computations on the determined differences between the collections of data by creating a lattice and indexing the differences in the collection of data according to the lattice.