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A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications [PDF]

open access: yesSensors, 2019
The widespread applications of the wireless Internet of Things (IoT) is one of the leading factors in the emerging of Big Data. Huge amounts of data need to be transferred and processed.
Xu Yang, Yumin Hou, Hu He
doaj   +3 more sources

Interactive programming paradigm for real-time experimentation with remote living matter. [PDF]

open access: hybridProc Natl Acad Sci U S A, 2019
Significance Biology cloud laboratories are an emerging approach to lowering access barriers for life-science experimentation. However, suitable programming approaches and interfaces are lacking for both domain experts and lay users, especially ones that
Washington P   +4 more
europepmc   +4 more sources

The Answer Set Programming Paradigm [PDF]

open access: yesAI Magazine, 2016
In this article, we give an overview of the answer set programming paradigm, explain its strengths, and illustrate its main features in terms of examples and an application problem.
Niemelä, Ilkka, Janhunen, Tomi
openaire   +7 more sources

Weighted programming: a programming paradigm for specifying mathematical models [PDF]

open access: yesProceedings of the ACM on Programming Languages, 2022
We study weighted programming, a programming paradigm for specifying mathematical models. More specifically, the weighted programs we investigate are like usual imperative programs with two additional features: (1) nondeterministic branching and (2) weighting execution traces.
Kevin Batz   +4 more
openaire   +4 more sources

Towards comparing programming paradigms [PDF]

open access: green2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017
Rapid technological progress in computer sciences finds solutions and at the same time creates ever more complex requirements. Due to an evolving complexity todays programming languages provide powerful frameworks which offer standard solutions for recurring tasks to assist the programmer and to avoid the re-invention of the wheel with so-called out-of-
Igor Ivkić   +2 more
openalex   +7 more sources

A New Programming Paradigm for GPGPU [PDF]

open access: bronze, 2012
Graphics Processing units (GPU) have become a valuable support for High Performance Computing (HPC) applications. However, despite the many improvements of General Purpose GPUs, the current programming paradigms available, such as NVIDIA's CUDA, are still low-level and require strong programming effort, especially for irregular applications where ...
Julio Toss, Thierry Gautier
openalex   +3 more sources

Learning difficulties of ‘object-oriented programming paradigm using Java’: students’ perspective

open access: gold, 2011
Java programming is popular both in Academia and IT Industry. Further, it is the maximum usage of programming across the world. There is a wide edge between industry expectations and knowledge of students in Java programming.
M. Sivasakthi
openalex   +3 more sources

Model-based, event-driven programming paradigm for interactive web applications

open access: bronzeSIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software, 2013
Aleksandar Milićević   +3 more
openalex   +2 more sources

Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm [PDF]

open access: yesCHI Extended Abstracts, 2021
Prevailing methods for mapping large generative language models to supervised tasks may fail to sufficiently probe models’ novel capabilities. Using GPT-3 as a case study, we show that 0-shot prompts can significantly outperform few-shot prompts.
Laria Reynolds, Kyle McDonell
semanticscholar   +1 more source

Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs [PDF]

open access: yesInternational Conference on Architectural Support for Programming Languages and Operating Systems, 2022
As deep learning models nowadays are widely adopted by both cloud services and edge devices, reducing the latency of deep learning model inferences becomes crucial to provide efficient model serving. However, it is challenging to develop efficient tensor
Yaoyao Ding   +5 more
semanticscholar   +1 more source

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