2 Search Results for "Vytiniotis, Dimitrios"

Document
DOI: 10.4230/DagRep.4.12.48
Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511)

Authors: James Cheney, Torsten Grust, and Dimitrios Vytiniotis

Published in: Dagstuhl Reports, Volume 4, Issue 12 (2015)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14511 "Programming Languages for Big Data (PlanBig)". The seminar was motivated by recent developments in programming languages, databases, machine learning, and cloud computing, and particularly by the opportunities offered by research drawing on more than one of these areas. Participants included researchers working in each of these areas and several who have previously been involved in research in the intersection of databases and programming languages. The seminar included talks, demos and free time for discussion or collaboration. This report collects the abstracts of talks and other activities, a summary of the group discussions at the seminar, and a list of outcomes.
Cite as

James Cheney, Torsten Grust, and Dimitrios Vytiniotis. Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511). In Dagstuhl Reports, Volume 4, Issue 12, pp. 48-67, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{cheney_et_al:DagRep.4.12.48,
  author =	{Cheney, James and Grust, Torsten and Vytiniotis, Dimitrios},
  title =	{{Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511)}},
  pages =	{48--67},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{4},
  number =	{12},
  editor =	{Cheney, James and Grust, Torsten and Vytiniotis, Dimitrios},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.4.12.48},
  URN =		{urn:nbn:de:0030-drops-50055},
  doi =		{10.4230/DagRep.4.12.48},
  annote =	{Keywords: Programming languages, databases, data-centric computation, machine learning, cloud computing}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.RTA.2013.20
Evidence Normalization in System FC (Invited Talk)

Authors: Dimitrios Vytiniotis and Simon Peyton Jones

Published in: LIPIcs, Volume 21, 24th International Conference on Rewriting Techniques and Applications (RTA 2013)

Abstract
System FC is an explicitly typed language that serves as the target language for Haskell source programs. System FC is based on System F with the addition of erasable but explicit type equality proof witnesses. Equality proof witnesses are generated from type inference performed on source Haskell programs. Such witnesses may be very large objects, which causes performance degradation in later stages of compilation, and makes it hard to debug the results of type inference and subsequent program transformations. In this paper we present an equality proof simplification algorithm, implemented in GHC, which greatly reduces the size of the target System FC programs.
Cite as

Dimitrios Vytiniotis and Simon Peyton Jones. Evidence Normalization in System FC (Invited Talk). In 24th International Conference on Rewriting Techniques and Applications (RTA 2013). Leibniz International Proceedings in Informatics (LIPIcs), Volume 21, pp. 20-38, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{vytiniotis_et_al:LIPIcs.RTA.2013.20,
  author =	{Vytiniotis, Dimitrios and Peyton Jones, Simon},
  title =	{{Evidence Normalization in System FC}},
  booktitle =	{24th International Conference on Rewriting Techniques and Applications (RTA 2013)},
  pages =	{20--38},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-53-8},
  ISSN =	{1868-8969},
  year =	{2013},
  volume =	{21},
  editor =	{van Raamsdonk, Femke},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.RTA.2013.20},
  URN =		{urn:nbn:de:0030-drops-40506},
  doi =		{10.4230/LIPIcs.RTA.2013.20},
  annote =	{Keywords: Haskell, type functions, system FC}
}
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