PPT-Naiad:
Author : cheryl-pisano | Published Date : 2016-06-04
A Timely Dataflow System Derek G Murray Michael Isard Frank McSherry Paul Barham Rebecca Isaacs Martín Abadi Microsoft Research 1 Batch processing Stream processing
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A Timely Dataflow System Derek G Murray Michael Isard Frank McSherry Paul Barham Rebecca Isaacs Martín Abadi Microsoft Research 1 Batch processing Stream processing Graph processing Timely dataflow. Murray Frank McSherry Rebecca Isaacs Michael Isard Paul Barham Mart 305n Abadi Microsoft Research Silicon Valley derekmurmcsherryrisaacsmisardpbarabadi microsoftcom Abstract Naiad is a distributed system for executing data parallel cyclic data6425 Iterative and Incremental. Data-Parallel Computation. Frank McSherry Rebecca Isaacs . Derek G. Murray . Michael Isard. Microsoft Research Silicon Valley. Outline. Yet another dataflow engine?. Naiad’s “differential” data model. Timely Dataflow System . Presented by Leeor Peled. Advanced Topics in Computer . Architecture . April 2014. Greece, sometime B.C.. Naiads. (Να. ϊάδες. ) were a type of nymph (female spirit) who presided over fountains, wells, springs, streams, brooks and other bodies of fresh water.. Neireds. Both Naiads and . Neireds. are nymphs of water. Nerierds. are related to salt water and the Mediterranean Sea most often. Naiads are nymphs of fresh water(ponds, streams). Nerierds. and Naiads help sailors and men in distress. Brittle Naiad Fact SheetDescription: Brittle naiad is a highly invasive, submersed annual aquatic plant. The stems of brittle naiad are highly branched and may grow to a length of 4 ft. or more. The s 2 istribution Map eproduction European Naiad reproduces by both vegetative methods and from seed production. s widely distributed in North Carolina and has caused a length of 4 ft. or more. The stems also fragment readily, hence the common name "brittle" naiad. Leaves are opposite, strashaped, about one inc Derek G. Murray. Michael Isard. Frank McSherry. Paul Barham. Rebecca Isaacs. Martín Abadi. Microsoft Research. 1. Batch processing. Stream processing. Graph processing. Timely dataflow. In. ⋈. #x. Frank McSherry. , Derek G. Murray,. Rebecca Isaacs, Michael Isard. Microsoft Research, Silicon Valley. Data-parallel dataflow. 1. 2. 3. 4. 5. 1. 4. 2. 3. 6. 6. 5. A. B. C. D. E. k1:. k2:. k3:. Data-parallel dataflow.
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