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  Browse All Reviews > Software (D) > Programming Techniques (D.1) > General (D.1.0)  
  1-10 of 144 Reviews about "General (D.1.0)": Date Reviewed
  On the model of computation: counterpoint: parallel programming wall and multicore software spiral: denial hence crisis
Vishkin U. Communications of the ACM 65(9): 32-34, 2022.  Type: Article

Vishkin’s counterpoint to Dally [1] talks about what the model of computation should now be in light of multicore processors (and their programming difficulties) and parallel processing. His view recommends a new model of computation, other ...

Jan 24 2023
  On the model of computation: point: we must extend our model of computation to account for cost and location
Dally W. Communications of the ACM 65(9): 30-32, 2022.  Type: Article

The model of any process demonstrates its functionality and is useful for its study and analysis. For example, the Turing machine is a model for computation. However, the random-access machine (RAM) model is close to the architecture of serial pro...

Jan 23 2023
  Foundations of probabilistic programming
Barthe G., Katoen J., Silva A., Cambridge University Press, Cambridge, UK, 2021. 582 pp.  Type: Book (978-1-108488-51-8)

This book covers various programming languages for probabilistic programming. The languages are described using syntax, semantics, and examples. It also looks at the theories related to the semantics of probability constructs and discu...

Oct 18 2021
  iMapReduce: a distributed computing framework for iterative computation
Zhang Y., Gao Q., Gao L., Wang C. Journal of Grid Computing 10(1): 47-68, 2020.  Type: Article

MapReduce is one of the most popular standard algorithms in distributed processing. This paper contributes to performance improvement in MapReduce, which otherwise performs low on social networking and web-based data due to iterative p...

Sep 28 2021
  Soft computing: techniques in engineering science
Ram M., Singh S., DE GRUYTER, Berlin, Germany, 2020. 230 pp.  Type: Book (978-3-110625-60-8)

Soft computing is that part of computational science that is applied to problems characterized by uncertainty and imprecision. The techniques of soft computing include fuzzy sets, numbers, and logic; neural networks; and genetic progra...

Apr 22 2021
  Search-based program synthesis
Alur R., Singh R., Fisman D., Solar-Lezama A. Communications of the ACM 61(12): 84-93, 2018.  Type: Article

Program synthesis aims at the automatic generation of “an executable implementation ... from a high-level logical specification of the desired input-to-output behavior.” The review article concentrates on syntax-gui...

Mar 19 2019
   Guide to competitive programming: learning and improving algorithms through contests
Laaksonen A., Springer International Publishing, New York, NY, 2017. 283 pp.  Type: Book (978-3-319725-46-8)

Competitive programming is not new, but is now widely available through different online competitions. As Laaksonen notes, competitive programming provides opportunities for practice and helps to bridge the gap between theory and pract...

Oct 30 2018
  Nim in action
Picheta D., Manning Publications Co., Shelter Island, NY, 2017. 320 pp.  Type: Book (978-1-617293-43-6)

Among the newer programming languages, Nim has managed to distinguish itself on its own merits without any corporate support. Andreas Rumpf released the first Nim compiler written in Nim (then known as Nimrod) in 2008. Nim is open sour...

Jul 16 2018
  Coding literacy: how computer programming is changing writing
Vee A., The MIT Press, Cambridge, MA, 2017. 376 pp.  Type: Book (978-0-262036-24-5)

Like reading and writing, programming has become an essential fundamental tool to organize information. A few centuries ago, being able to write and read, whether in Spanish, English, or French, was a way to be valuable to society. Can...

Jul 9 2018
  Processing: an introduction to programming
Nyhoff J., Nyhoff L., Chapman & Hall/CRC, Boca Raton, FL, 2017. 576 pp.  Type: Book (978-1-482255-95-9)

Technology advances haven’t been kind to computer science educators. Getting youngsters excited about programming, a foundational element of a computer science curriculum, is becoming increasingly difficult. When I was a pupi...

Feb 28 2018
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