Bridging awareness and behavior: decoding implicit metacognitive behaviors in AI-assisted programming via fine-grained log analysis [PDF]
Frontiers in PsychologyWhile generative artificial intelligence offers transformative potential for programming education, its impact on students' internal cognitive and behavioral patterns remains underexplored.
Xiaojing Hou +3 more
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Directive-based GPU programming for computational fluid dynamics [PDF]
Computers and Fluids, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas R W Scogland, Charles W Jackson
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Exploring Performance Improvement Opportunities in Directive-Based GPU Programming
2018 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2018 GPUs offer an impressive computing power, but their effective exploitation remains an open problem. Kernel based programming models such as CUDA or OpenCL, allow a direct programming of the GPU architecture and can drive to excellent performance. However, these programming models require significant code changes, often tedious and error-prone, before ...
Diarra, Rokiatou +2 more
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Revista Colombiana de ComputaciónTo extract performance from supercomputers, programmers in the High Performance Computing (HPC) community are often required to use a combination of frameworks to take advantage of the multiple levels of parallelism. However, over the years, efforts have
Christian Asch +2 more
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Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models [PDF]
Journal of Supercomputing, 2016 The researchers from the Universitat Jaume I de Castelló were supported by Universitat Jaume I research project (P11B2013-21), project TIN2014-53495-R, a Generalitat Valenciana grant and FEDER. The researcher from the Barcelona Supercomputing Center (BSC-CNS) was supported by the European Commission (HiPEAC-3 Network of Excellence, FP7-ICT 287759 ...
Antonio J Pena +2 more
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Evaluation of Directive-Based GPU Programming Models on a Block Eigensolver with Consideration of Large Sparse Matrices [PDF]
Lecture Notes in Computer Science, 2020 Achieving high performance and performance portability for large-scale scientific applications is a major challenge on heterogeneous computing systems such as many-core CPUs and accelerators like GPUs. In this work, we implement a widely used block eigensolver, Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG), using two popular ...
Hasan Metin Aktulga
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OpenARC: Extensible OpenACC Compiler Framework for Directive-Based Accelerator Programming Study
2014 First Workshop on Accelerator Programming using Directives, 2014 Directive-based, accelerator programming models such as OpenACC have arisen as an alternative solution to program emerging Scalable Heterogeneous Computing (SHC) platforms. However, the increased complexity in the SHC systems incurs several challenges in terms of portability and productivity. This paper presents an open-sourced OpenACC compiler, called
Seyong Lee, Jeffrey S Vetter
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PACC: a directive-based programming framework for out-of-core stencil computation on accelerators
International Journal of High Performance Computing and Networking, 2019 Fumihiko Ino, Kenichi Hagihara
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Accelerating Electromagnetic Field Simulations Based on Memory-Optimized CPML-FDTD with OpenACC
Applied Sciences, 2022 Although GPUs can offer higher computing power at low power consumption, their low-level programming can be relatively complex and consume programming time. For this reason, directive-based alternatives such as OpenACC could be used to specify high-level
Diego Padilla-Perez +3 more
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Subjective Well-Being Achievement Profiles in Young People: Ethno-Regional and Gender Aspects
RUDN Journal of Psychology and Pedagogics, 2023 The desire of young people to achieve subjective well-being as a life goal makes a significant contribution to the actualization of their resources, determining various forms of activity.
Tatiana N. Banshchikova +1 more
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