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Documents authored by Sivaramakrishnan, K. C.

Found 2 Possible Name Variants:

Sivaramakrishnan, K. C.

Document
DOI: 10.4230/LIPIcs.FSCD.2017.18
Continuation Passing Style for Effect Handlers

Authors: Daniel Hillerström, Sam Lindley, Robert Atkey, and K. C. Sivaramakrishnan

Published in: LIPIcs, Volume 84, 2nd International Conference on Formal Structures for Computation and Deduction (FSCD 2017)

Abstract
We present Continuation Passing Style (CPS) translations for Plotkin and Pretnar's effect handlers with Hillerström and Lindley's row-typed fine-grain call-by-value calculus of effect handlers as the source language. CPS translations of handlers are interesting theoretically, to explain the semantics of handlers, and also offer a practical implementation technique that does not require special support in the target language's runtime. We begin with a first-order CPS translation into untyped lambda calculus which manages a stack of continuations and handlers as a curried sequence of arguments. We then refine the initial CPS translation first by uncurrying it to yield a properly tail-recursive translation and second by making it higher-order in order to contract administrative redexes at translation time. We prove that the higher-order CPS translation simulates effect handler reduction. We have implemented the higher-order CPS translation as a JavaScript backend for the Links programming language.
Cite as

Daniel Hillerström, Sam Lindley, Robert Atkey, and K. C. Sivaramakrishnan. Continuation Passing Style for Effect Handlers. In 2nd International Conference on Formal Structures for Computation and Deduction (FSCD 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 84, pp. 18:1-18:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{hillerstrom_et_al:LIPIcs.FSCD.2017.18,
  author =	{Hillerstr\"{o}m, Daniel and Lindley, Sam and Atkey, Robert and Sivaramakrishnan, K. C.},
  title =	{{Continuation Passing Style for Effect Handlers}},
  booktitle =	{2nd International Conference on Formal Structures for Computation and Deduction (FSCD 2017)},
  pages =	{18:1--18:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-047-7},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{84},
  editor =	{Miller, Dale},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2017.18},
  URN =		{urn:nbn:de:0030-drops-77394},
  doi =		{10.4230/LIPIcs.FSCD.2017.18},
  annote =	{Keywords: effect handlers, delimited control, continuation passing style}
}

Sivaramakrishnan, KC

Document
DOI: 10.4230/LIPIcs.SNAPL.2019.8
Version Control Is for Your Data Too

Authors: Gowtham Kaki, KC Sivaramakrishnan, and Suresh Jagannathan

Published in: LIPIcs, Volume 136, 3rd Summit on Advances in Programming Languages (SNAPL 2019)

Abstract
Programmers regularly use distributed version control systems (DVCS) such as Git to facilitate collaborative software development. The primary purpose of a DVCS is to maintain integrity of source code in the presence of concurrent, possibly conflicting edits from collaborators. In addition to safely merging concurrent non-conflicting edits, a DVCS extensively tracks source code provenance to help programmers contextualize and resolve conflicts. Provenance also facilitates debugging by letting programmers see diffs between versions and quickly find those edits that introduced the offending conflict (e.g., via git blame). In this paper, we posit that analogous workflows to collaborative software development also arise in distributed software execution; we argue that the characteristics that make a DVCS an ideal fit for the former also make it an ideal fit for the latter. Building on this observation, we propose a distributed programming model, called carmot that views distributed shared state as an entity evolving in time, manifested as a sequence of persistent versions, and relies on an explicitly defined merge semantics to reconcile concurrent conflicting versions. We show examples demonstrating how carmot simplifies distributed programming, while also enabling novel workflows integral to modern applications such as blockchains. We also describe a prototype implementation of carmot that we use to evaluate its practicality.
Cite as

Gowtham Kaki, KC Sivaramakrishnan, and Suresh Jagannathan. Version Control Is for Your Data Too. In 3rd Summit on Advances in Programming Languages (SNAPL 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 136, pp. 8:1-8:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{kaki_et_al:LIPIcs.SNAPL.2019.8,
  author =	{Kaki, Gowtham and Sivaramakrishnan, KC and Jagannathan, Suresh},
  title =	{{Version Control Is for Your Data Too}},
  booktitle =	{3rd Summit on Advances in Programming Languages (SNAPL 2019)},
  pages =	{8:1--8:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-113-9},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{136},
  editor =	{Lerner, Benjamin S. and Bod{\'\i}k, Rastislav and Krishnamurthi, Shriram},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.SNAPL.2019.8},
  URN =		{urn:nbn:de:0030-drops-105516},
  doi =		{10.4230/LIPIcs.SNAPL.2019.8},
  annote =	{Keywords: replication, distributed systems, version control}
}
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