Cuneiform (programming language)

Cuneiform
Paradigmfunctional, scientific workflow
Designed byJörgen Brandt
First appeared2013
Stable release
3.0.4 / November 19, 2018 (2018-11-19)
Typing disciplinestatic, simple types
Implementation languageErlang
OSLinux, MacOS
LicenseApache License 2.0
Filename extensions.cfl
Websitecuneiform-lang.org
Influenced by
Swift (parallel scripting language)
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Cuneiform is an open-source workflow language for large-scale scientific data analysis.[1][2] It is a statically typed functional programming language promoting parallel computing. It features a versatile foreign function interface allowing users to integrate software from many external programming languages. At the organizational level Cuneiform provides facilities like conditional branching and general recursion making it Turing-complete. In this, Cuneiform is the attempt to close the gap between scientific workflow systems like Taverna, KNIME, or Galaxy and large-scale data analysis programming models like MapReduce or Pig Latin while offering the generality of a functional programming language.

Cuneiform is implemented in distributed Erlang. If run in distributed mode it drives a POSIX-compliant distributed file system like Gluster or Ceph (or a FUSE integration of some other file system, e.g., HDFS). Alternatively, Cuneiform scripts can be executed on top of HTCondor or Hadoop.[3][4][5][6]

Cuneiform is influenced by the work of Peter Kelly who proposes functional programming as a model for scientific workflow execution.[7][8] In this, Cuneiform is distinct from related workflow languages based on dataflow programming like Swift.[9]

  1. ^ "Joergen7/Cuneiform". GitHub. 14 October 2021.
  2. ^ Brandt, Jörgen; Bux, Marc N.; Leser, Ulf (2015). "Cuneiform: A functional language for large scale scientific data analysis" (PDF). Proceedings of the Workshops of the EDBT/ICDT. 1330: 17–26.
  3. ^ "Scalable Multi-Language Data Analysis on Beam: The Cuneiform Experience by Jörgen Brandt". Erlang Central. Archived from the original on 2 October 2016. Retrieved 28 October 2016.
  4. ^ Bux, Marc; Brandt, Jörgen; Lipka, Carsten; Hakimzadeh, Kamal; Dowling, Jim; Leser, Ulf (2015). "SAASFEE: scalable scientific workflow execution engine" (PDF). Proceedings of the VLDB Endowment. 8 (12): 1892–1895. doi:10.14778/2824032.2824094.
  5. ^ Bessani, Alysson; Brandt, Jörgen; Bux, Marc; Cogo, Vinicius; Dimitrova, Lora; Dowling, Jim; Gholami, Ali; Hakimzadeh, Kamal; Hummel, Michael; Ismail, Mahmoud; Laure, Erwin; Leser, Ulf; Litton, Jan-Eric; Martinez, Roxanna; Niazi, Salman; Reichel, Jane; Zimmermann, Karin (2015). "Biobankcloud: a platform for the secure storage, sharing, and processing of large biomedical data sets" (PDF). The First International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2015).
  6. ^ "Scalable Multi-Language Data Analysis on Beam: The Cuneiform Experience". Erlang-factory.com. Retrieved 28 October 2016.
  7. ^ Kelly, Peter M.; Coddington, Paul D.; Wendelborn, Andrew L. (2009). "Lambda calculus as a workflow model". Concurrency and Computation: Practice and Experience. 21 (16): 1999–2017. doi:10.1002/cpe.1448. S2CID 10833434.
  8. ^ Barseghian, Derik; Altintas, Ilkay; Jones, Matthew B.; Crawl, Daniel; Potter, Nathan; Gallagher, James; Cornillon, Peter; Schildhauer, Mark; Borer, Elizabeth T.; Seabloom, Eric W. (2010). "Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis" (PDF). Ecological Informatics. 5 (1): 42–50. doi:10.1016/j.ecoinf.2009.08.008. S2CID 16392118.
  9. ^ Di Tommaso, Paolo; Chatzou, Maria; Floden, Evan W; Barja, Pablo Prieto; Palumbo, Emilio; Notredame, Cedric (2017). "Nextflow enables reproducible computational workflows". Nature Biotechnology. 35 (4): 316–319. doi:10.1038/nbt.3820. PMID 28398311. S2CID 9690740.

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