Results 201 to 210 of about 4,670 (216)
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Weighted gradient direction based chaos optimization algorithm for nonlinear programming problem
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527), 2003Based on exact penalty function, a chaos optimization algorithm using weighted gradient direction search is proposed for handling nonlinear programming problems with inequality constraints. By use of ergodicity and intrinsic stochastic properties of chaos, the chaos optimization algorithm can escape from the local minima.
null Shengsong Liu, null Zhijian Hou
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Optimization, 2013
The classical alternating direction method (ADM) has been well studied in the context of linearly constrained convex programming and variational inequalities where the involved operator is formed as the sum of two individual functions without crossed variables.
He, Bingsheng +3 more
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The classical alternating direction method (ADM) has been well studied in the context of linearly constrained convex programming and variational inequalities where the involved operator is formed as the sum of two individual functions without crossed variables.
He, Bingsheng +3 more
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Proceedings of the Platform for Advanced Scientific Computing Conference, 2017
In this work we evaluate the effectiveness of using OpenACC as a paradigm for the auto-parallelization of a high-order unstructured CFD code on Graphics Processing Units (GPUs). This is in lieu of hand-written CUDA or OpenCL code for the algorithms that have to be separately maintained and tuned to available hardware.
Kunal Puri +2 more
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In this work we evaluate the effectiveness of using OpenACC as a paradigm for the auto-parallelization of a high-order unstructured CFD code on Graphics Processing Units (GPUs). This is in lieu of hand-written CUDA or OpenCL code for the algorithms that have to be separately maintained and tuned to available hardware.
Kunal Puri +2 more
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Computational Optimization and Applications, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Létocart, Lucas +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Létocart, Lucas +3 more
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Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, 2009
The Compute Unified Device Architecture (CUDA) has become a de facto standard for programming NVIDIA GPUs. However, CUDA places on the programmer the burden of packaging GPU code in separate functions, of explicitly managing data transfer between the host memory and various components of the GPU memory, and of manually optimizing the utilization of the
Tianyi David Han, Tarek S. Abdelrahman
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The Compute Unified Device Architecture (CUDA) has become a de facto standard for programming NVIDIA GPUs. However, CUDA places on the programmer the burden of packaging GPU code in separate functions, of explicitly managing data transfer between the host memory and various components of the GPU memory, and of manually optimizing the utilization of the
Tianyi David Han, Tarek S. Abdelrahman
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An Evaluation of Directive-Based Parallelization on the GPU Using a Parboil Benchmark
Electronics (Switzerland), 2023Marko Misic, Jovan Đukić
exaly
Comparative Study of Directive-based Programming Models on CPUs and GPUs for Scientific Applications
2021C. Navya, H. A. Sanjay, Sanket Salvi
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Comparative Study of Directive-based Programming Models on CPUs and GPUs for Scientific Applications
Lecture Notes in Electrical Engineering, 2022Sanket Salvi, H A Sanjay, Navya C
exaly
Reduction-Aware Directive-Based Programming via Multi-Dimensional Homomorphisms
Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and AnalysisRichard Schulze +2 more
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