A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers by M M Hafizur Rahman, Mohammed Al-Naeem, Mohammed Mustafa Ghowanem, Eklas Hossain

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Ab initio study of the Si(111)-(7x7) surface reconstruction : a challenge for massively parallel computation by Brommer, Karl Daniel

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Application of Massive Parallel Deep Learning Algorithm in the Prediction of Colorectal Carcinogenesis of Familial Polyposis by Fuqiang Zhang, Sichao Jiang, Yanke Li

Subjects: “…Massively parallel computing…”
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Fast Low-Precision Computer-Generated Holography on GPU by David Blinder, Peter Schelkens

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Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks by Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Luziwei Leng, Nico Gürtler, Maurice Güttler, Dan Husmann, Kai Husmann, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, Mihai A. Petrovici

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Large-scale branch contingency analysis through master/slave parallel computing by Xi Yang, Cong Liu, Jianhui Wang

Subjects: “…Massive parallel computing…”
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Optimization Algorithms for Scalable Stream Batch Clustering with k Estimation by Paulo Gustavo Lopes Cândido, Jonathan Andrade Silva, Elaine Ribeiro Faria, Murilo Coelho Naldi

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Emergent Information Processing: Observations, Experiments, and Future Directions by Jiří Kroc

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A HIGH-FIDELITY SIMULATION OF THE C5G7 BENCHMARK BY USING THE PARALLEL ENTER CODE by Ruan Zhenglin, Guo Haibing

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TFBN: A Cost Effective High Performance Hierarchical Interconnection Network by M. M. Hafizur Rahman, Mohammed Al-Naeem, Mohammed N. M. Ali, Abu Sufian

Subjects: “…massively parallel computer system…”
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The Static Performance Effect of Hybrid- Hierarchical Interconnection by Shifted Completely Connected Network by Mohammed N. M. Ali, M. M. Hafizur Rahman, Adamu Abubakar Ibrahim, Yasushi Inoguchi, Eklas Hossain

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A High Static Performance Hierarchical Three-Dimensional Shifted Completely Connected Network by Mohammed N. M. Ali, M. M. Hafizur Rahman, Adamu Abubakar Ibrahim, Mohammed Al-Naeem, Eklas Hossain

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PFASUM: a substitution matrix from Pfam structural alignments by Frank Keul, Martin Hess, Michael Goesele, Kay Hamacher

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A statistical method for massive data based on partial least squares algorithm by Xu Yan

“…To solve this application contradiction, a parallel computing strategy based on NVIDIA CU-DA architecture is proposed to implement the partial least squares algorithm using a graphics processor (GPU) with massively parallel computing features as the computing device and combining the advantages of GPU memory. …”
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Efficient Parameter Estimation and Implementation of a Contour Integral-Based Eigensolver by Tetsuya Sakurai, Yasunori Futamura, Hiroto Tadano

“…This method has good parallel scalability, and is suitable for massively parallel computing environments. The SS method has several parameters, and the choice of these parameters is crucial for achieving high accuracy and good parallel performance. …”
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Data-driven prediction and origin identification of epidemics in population networks by Karen Larson, Georgios Arampatzis, Clark Bowman, Zhizhong Chen, Panagiotis Hadjidoukas, Costas Papadimitriou, Petros Koumoutsakos, Anastasios Matzavinos

“…We introduce a Bayesian uncertainty quantification framework to infer model parameters for a disease spreading on a network of communities from limited, noisy observations; the state-of-the-art computational framework compensates for the model complexity by exploiting massively parallel computing architectures. Using noisy, synthetic data, we show the potential of the approach to perform robust model fitting and additionally demonstrate that we can effectively identify the disease origin via Bayesian model selection. …”
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OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources by Zhikun Wu, Honghui Shang, Yangjun Wu, Zhongcheng Zhang, Ying Liu, Yuyang Zhang, Yucheng Ouyang, Huimin Cui, Xiaobing Feng

“…Furthermore, to fully exploit the massively parallel computing capabilities, we have performed a series of general-purpose graphics processing unit (GPGPU)-targeted optimizations that significantly improved the execution efficiency by reducing register requirements, branch divergence, and memory transactions. …”
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Continuing Education Network Data Center Model Based on Fractional Differential Mathematical Equations by Wu Lei

“…It is widely used for data-intensive and massively parallel computing tasks. The paper proposes a continuing education network data center management model based on this research background. …”
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Comparative study of the implementation of the Lagrange interpolation algorithm on GPU and CPU using CUDA to compute the density of a material at different temperatures by Rtal Youness, Hadjoudja Abdelkader

“…In a few years, these microprocessors have become potent tools for massively parallel computing. Such processors are practical instruments that serve in developing several fields like image processing, video and audio encoding and decoding, the resolution of a physical system with one or more unknowns. …”
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Improved distributed algorithms for fundamental graph problems by Ghaffari, Mohsen

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