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Implicit parallelism
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1	Exploit Implicit and Explicit Parallelism for Faster Geoscience Workflows Charlie Zender <> 1 Departments of Earth System Science and Add to Reading List Source URL: dust.ess.uci.edu - Date: 2014-03-27 10:22:51
2	Implicit Parallelism through Deep Language Embedding Alexander Alexandrov Lauritz Thamsen Andreas Kunft Odej Kao Add to Reading List Source URL: www.user.tu-berlin.de Language: English - Date: 2016-07-21 07:25:50 Software engineering Computer programming Computing Functional languages Higher-order functions Programming language comparisons Concurrent programming languages Object-oriented programming languages Monad Scala Set-builder notation Haskell
3	Implicit Parallelism through Deep Language Embedding Alexander Alexandrov Asterios Katsifodimos Volker Markl Add to Reading List Source URL: www.user.tu-berlin.de Language: English - Date: 2016-07-21 07:25:50 Higher-order functions Functional programming Functional languages Concurrent programming languages Programming language comparisons List comprehension Apache Spark Oz Monad Fold Scala Map
4	Implicit Parallelism through Deep Language Embedding Alexander Alexandrov Lauritz Thamsen Andreas Kunft Odej Kao Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Software engineering Computer programming Computing Functional languages Higher-order functions Programming language comparisons Concurrent programming languages Object-oriented programming languages Monad Set-builder notation Scala Haskell
5	Implicit Parallelism through Deep Language Embedding Alexander Alexandrov Asterios Katsifodimos Volker Markl Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Software engineering Computer programming Computing Higher-order functions Functional languages Concurrent programming languages Programming language comparisons Functional programming Apache Spark List comprehension Oz Monad
6	DOI: CSIS120712021M EasyFJP: Providing Hybrid Parallelism as a Concern for Divide and Conquer Java Applications Cristian Mateos1 , Alejandro Zunino1 , and Mat´ıas Hirsch2 1 Add to Reading List Source URL: www.doiserbia.nb.rs Language: English - Date: 2013-07-08 04:57:56 Computing Concurrent computing Software engineering Parallel computing Explicit parallelism Parallel programming model Implicit parallelism Futures and promises Thread OpenMP Go Automatic parallelization
7	Wagging Logic: Implicit Parallelism Extraction Using Asynchronous Methodologies Charlie Brej School of Computer Science, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK Email: Abstr Add to Reading List Source URL: apt.cs.manchester.ac.uk Language: English - Date: 2014-05-13 09:16:32
8	Implicit Parallelism with Ordered Transactions Christoph von Praun IBM T.J. Watson Research Center praun, cascaval @us.ibm.com Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2007-09-14 13:31:04 Software engineering Automatic parallelization OpenMP Data parallelism Parallel programming model Data dependency Instruction-level parallelism Thread Concurrent computing Computing Parallel computing Computer programming
9	An Iterative Compiler for Implicit Parallelism Extended Abstract Jos´e Manuel Calder´on Trilla Colin Runciman Add to Reading List Source URL: ifl2014.github.io Language: English - Date: 2015-03-04 15:20:42 Functional programming Parallel computing Functional languages Static program analysis Strictness analysis Procedural programming languages Append Implicit parallelism Strict programming language Software engineering Computing Computer programming
10	Chapter 1 Low Pain vs No Pain Multi-core Haskells M. KH. Aswad , P. W. Trinder, A. D. Al Zain, G. J. Michaelson 1 , J. Berthold2 Add to Reading List Source URL: www.macs.hw.ac.uk Language: English - Date: 2010-03-22 11:35:23 Parallel computing Glasgow Haskell Compiler Multi-core processor Haskell Algorithmic skeleton Implicit parallelism Speedup Thread Unified Parallel C Computing Concurrent computing Computer programming

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