PLDI, ECOOP, Curry On, DEBS, LCTES and ISMM (series) / PLDI 2017 (series) / IC 2017 (series) / First Workshop on Incremental Computing /
Automatic Incrementalization of Functional Reports
An essential part of many organisations is the ability to provide the users and decision makers with reports on key data based on large amounts data, and these reports should be delivered in a timely manner to stay relevant.
To get the desired performance the programs generating these reports are often written in a non-intuitive fashion. For instance, by keeping data in a denormalized form. We have investigated an alternative approach, namely to write the programs as they are operating on the full amount of data and then use automatic incrementalization for achieving acceptable performance.
Thu 22 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Thu 22 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
13:40 - 15:20
Incremental computing 2: Research talksIC at Vertex WS215
|Automated Incrementalization through Synthesis|
Rohin Shah University of California, Berkeley, Rastislav Bodík University of WashingtonFile Attached
|IceDust Calculation Strategy Composition Performance in Web Applications|
Daco Harkes Delft University of Technology, Eelco Visser Delft University of TechnologyFile Attached
|Automatic Incrementalization of Functional Reports|
Ken Friis Larsen DIKU, University of Copenhagen, Fritz Henglein DIKU, DenmarkFile Attached