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FRANKMCSHERRY.ORG

Frank McSherry

Some notes on doing less of what I used to do, and more of what I'd rather be doing.

http://www.frankmcsherry.org/

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Frank McSherry | frankmcsherry.org Reviews
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Some notes on doing less of what I used to do, and more of what I'd rather be doing.
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1 frank mcsherry
2 some background
3 posts
4 differential graph computation
5 abomonation terrifying serialization
6 differential dataflow
7 scalability
8 timely dataflow reboot
9 columnarization in rust
10 subscribe via rss
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frank mcsherry,some background,posts,differential graph computation,abomonation terrifying serialization,differential dataflow,scalability,timely dataflow reboot,columnarization in rust,subscribe via rss,mcsherry@gmail com,frankmcsherry
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Frank McSherry | frankmcsherry.org Reviews

https://frankmcsherry.org

Some notes on doing less of what I used to do, and more of what I'd rather be doing.

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1

Timely dataflow: reboot

http://www.frankmcsherry.org/dataflow/naiad/2014/12/27/Timely-Dataflow.html

Dec 27, 2014. Dataflow is a popular basis for many scalable computations, because the structure of the computation is committed to in advance of the execution, and the only responsibility of workers is to react to incoming data. The primary responsibility of the host system is to deliver the data to the appropriate workers, and this is a reasonably tractable task. Naiad and timely dataflow. Timely dataflow is the name we used to describe Naiad. In the graph at a logical. Order means we cannot name an ear...

2

Differential graph computation

http://www.frankmcsherry.org/differential/dataflow/2015/05/12/bfs.html

May 12, 2015. I recently received an email asking if differential dataflow. Might be a good fit for breadth-first search. In evolving graphs. I think it is a great fit, and I pushed a breadth-first search example. To the differential dataflow repository. In my delight and satisfaction. Around the same time I got a different email, asking if the recent CellIQ paper. Enough for many data-parallel graph computations. Whether it can be done is different from whether it can be done. Chasing these changes and ...

3

The impact of fast networks on graph analytics, part 1

http://www.frankmcsherry.org/pagerank/distributed/performance/2015/07/08/pagerank.html

The impact of fast networks on graph analytics, part 1. Jul 8, 2015. This is a joint post with Malte Schwarzkopf. Cross-blogged here and at the CamSaS blog. I spent the past few weeks visiting the CamSaS folks. At the University of Cambridge Computer Lab. Together, we did some interesting work, which we Malte Schwarzkopf. And I are now going to tell you about. Recently, a paper entitled Making Sense of Performance in Data Analytics Frameworks. Appeared at NSDI 2015. The measurements were done using Spark...

4

Scalability! But at what COST?

http://www.frankmcsherry.org/graph/scalability/cost/2015/01/15/COST.html

But at what COST? Jan 15, 2015. Michael Isard, Derek Murray, and I recently sent in a HotOS. Submission (it’s not blind, so no harm talking about it, we think). The subject is hinted at from the post title (stolen from the paper title):. Big data systems may scale well, but this can often be just because they introduce a lot of overhead. Rather than making your computation go faster, the systems introduce substantial overheads which can require large compute clusters just to bring under control. As a cav...

5

Bigger data; same laptop

http://www.frankmcsherry.org/graph/scalability/cost/2015/02/04/COST2.html

Bigger data; same laptop. Feb 4, 2015. This post follows up the previous post, Scalability! But at what COST? Which got a great response. The short version of the previous post is that for the graph datasets and computations the scalable systems research community is currently looking at, a laptop outperforms the scalable systems. There were several flavors of response to the post (many of which were very supportive! But one that I’d like to address in this post is. An earlier version had 23,653 seconds ...

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INESC-ID - Lisboa / Portugal - Distinguished Lecture Series

http://www.inesc-id.pt/lectures.php

Instituto de Engenharia de Sistemas e Computadores. Investigação e Desenvolvimento em Lisboa. 2014 Seminars and Meetings. Computing Systems and Communication Networks. Communication Networks and Mobility. Radio on Wireless (GROW). Algorithms for Optimization and Simulation. Analog and Mixed-Signal Circuits. Electronic System Design and Automation. Quality, Test and Co-Design of HW/SW Systems. SW Algorithms and Tools for Constraint Solving. Alternative Energies and Electromechanical Energy Conversion.

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