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HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing

Symposium on Field Programmable Gate Arrays, 2019
With the pursuit of improving compute performance under strict power constraints, there is an increasing need for deploying applications to heterogeneous hardware architectures with accelerators, such as GPUs and FPGAs.
Yi-Hsiang Lai   +7 more
semanticscholar   +1 more source

Trouble in Paradigm: “Gender Transformative” Programming in Violence Prevention

Violence against Women, 2019
The World Health Organization encourages a “gender transformative” paradigm for preventing violence against women and girls. Gender transformative interventions engage men and boys to reflect critically on—and then to challenge and change—gender ...
L. Brush, E. Miller
semanticscholar   +1 more source

Ontology paradigm of programming

Automatic Documentation and Mathematical Linguistics, 2013
A new programming paradigm, an ontologic one, which is a developed paradigm of declarative programming, is described, as well as the data model the paradigm is based on and major language structures supported by examples.
Valeriya Gribova, A. S. Kleschev
openaire   +2 more sources

A Paradigm Shift in Batterer Intervention Programming: A Need to Address Unresolved Trauma

Trauma, Violence, & Abuse, 2018
Intimate partner violence (IPV) is a significant public health problem affecting women, men, and children across the United States. Batterer intervention programs (BIPs) serve as the primary intervention for men who use violence, employing three primary ...
Laura A. Voith   +3 more
semanticscholar   +1 more source

A phased programming paradigm

ACM SIGCSE Bulletin, 1988
Correctness and efficiency are both legitimate concerns in program development. Through an extended example we present a multi-phase paradigm which encourages early algorithms to be abstract and maximally nondeterministic in the spirit of Dijkstra's guarded commands [4] but which caters equally for correctness, termination, data representation ...
openaire   +2 more sources

Programs as Paradigms

Architectural Design, 2014
How might we synthesise two very different approaches in architecture? One based on programme and another on typology or paradigm. Pablo Miranda Carranza, a researcher at the Architecture School at the RoyalInstitute of Technology (KTH) in Stockholm, takes his cue from an approach suggested by Colin Rowe in the early 1980s to examine how computation ...
openaire   +2 more sources

Paradigm for programming computers

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002
The programming of computers can be seen as a communication from a human to a machine; in the usual model, the human conceives something and the computer executes in accordance. Applying the method of the analysis (dividing something in parts that can be handled with more ease) to the conception, two phases can be delineated: (1) modeling; and (2 ...
openaire   +2 more sources

Essential programming paradigm

Companion to the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications, 2008
The chronic difficulty of software maintenance can be traced back to widely held assumptions that inhibit progress in computer science. In the last instance, the idiosyncrasies of programming paradigms must be held accountable for bad software design. The characteristics of an alternative programming paradigm without such drawbacks is outlined.
openaire   +2 more sources

Introducing an Efficient Programming Paradigm for Object-oriented Distributed Systems

, 2013
Implementing a distributed process using object oriented programming is challenging especially for clusters of nodes ensuring the availability. Java happens to be well suited for writing object oriented programs for applications which needs modularity ...
R. Udayakumar   +2 more
semanticscholar   +1 more source

The Elements of Differentiable Programming

arXiv.org
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable programming.
Mathieu Blondel, Vincent Roulet
semanticscholar   +1 more source

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