OpenCL/CUDA Algorithms for Parallel Decoding of any Irregular LDPC Code using GPU by J. Broulim, A. Ayriyan, H. Grigorian, V. Georgiev

“…The proposed approach can be implemented in applications supporting massive parallel computing. The proposed mapping is suitable for decoding any irregular LDPC code without the limitation of the maximum node degree. …”
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Dynamic communication performance of a hierarchical torus network under non-uniform traffic patterns by Rahman, M.M. Hafizur, Horiguchi, Susumu

“…Interconnection networks play a crucial role in the performance of massively parallel computers. Hierarchical interconnection networks provide high performance at low cost by exploring the locality that exists in the communication patterns of massively parallel computers. …”
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A Note on Massively Parallel Implementation of FETI for the Solution of Contact Problems by David Horak, Vaclav Hapla, Jakub Kruzik, Radim Sojka, Martin Cermak, Jiri Tomcala, Marek Pecha, Zdenek Dostal

“…The paper deals with the solution of large multibody contact problems using massively parallel computers and domain decomposition methods. …”
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Vertex Separators for Partitioning a Graph by Cem Evrendilek

“…The need for hugecomputational power arising in such applications to simulate physical phenomenoncorrectly mandates the use of massively parallel computers to distribute the workloadevenly. …”
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A family of reconfigurable neurocomputers for the "intelligent factory" by Erdogan, S. S., Abdul Rahman, Abdul Wahab

“…The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable for massively parallel computations is presented in this paper. The RM family of neurocomputers range from a single board system capable (of providing supercomputer power to more elaborate systems suitable for very complex real time neural computation. …”
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Linear functional classes over cellular automata by Anaël Grandjean, Gaétan Richard, Véronique Terrier

“…Cellular automata are a discrete dynamical system which models massively parallel computation. Much attention is devoted to computations with small time complexity for which the parallelism may provide further possibilities. …”
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On the Fine-Grain Decomposition of Multicommodity Transportation Problems by Zenios, Stavros A.

“…Hence, a fine-grain decomposition scheme is developed that is suitable for massively parallel computer architectures of the SIMD (i.e., single instruction stream, multiple data stream) class. …”
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A three-layer parallel computing system for shipbuilding project scheduling optimization by Duanfeng Han, Boxin Yang, Jinghua Li, Miaomiao Sun, Qinghua Zhou, Jiaxuan Wang

“…In the first computing layer, the problem was decomposed into small parts in heterogeneous systems, reducing the problem scale; then, in the second layer, a co-evolution strategy for multi-populations was put forward to improve the algorithm robustness; in the third layer, a massive parallel computing method was performed under the Graphic Processing Unit structure. …”
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The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives by B. Maronga, M. Gryschka, R. Heinze, F. Hoffmann, F. Kanani-Sühring, M. Keck, K. Ketelsen, M. O. Letzel, M. Sühring, S. Raasch

“…PALM is optimized for use on massively parallel computer architectures and was recently ported to general-purpose graphics processing units. …”
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Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks by Corentin Delacour, Aida Todri-Sanial

“…In an ONN, oscillators are coupled with electrical elements to define the network's weights and achieve massive parallel computation. As the weights preserve the network functionality, mapping weights to coupling elements plays a crucial role in ONN performance. …”
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Accurate and Efficient Dynamic Simulations of Ferroelectric Based Electron Devices by Rollo, T., Daniel, Luca, Esseni, D.

“…Furthermore, the persistence of ferroelectricity in ultra-thin ferroelectric layers paved the way to ferroelectric tunnelling junctions [6], where a polarization dependent tunneling current can be exploited to realize high impedance memristors, amenable for ultra power-efficient and thus massive parallel computation.…”
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Toward an Automated-Algebra Framework for High Orders in the Virial Expansion of Quantum Matter by Aleks J. Czejdo, Joaquin E. Drut, Yaqi Hou, Kaitlyn J. Morrell

“…The methods are computational but non-stochastic, thus avoiding statistical effects; they are also for the most part analytic, not numerical, and amenable to massively parallel computer architectures. We show formalism and results for coefficients characterizing the thermodynamics (pressure, density, energy, static susceptibilities) of homogeneous and harmonically trapped systems and explain how to generalize them to other observables such as the momentum distribution, Tan contact, and the structure factor.…”
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Actin droplet machine by Andrew Adamatzky, Jörg Schnauß, Florian Huber

“…We envisage that actin droplet machines could form an elementary processor of future massive parallel computers made from biopolymers.…”
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A Near-Optimal Parallel Algorithm for Joining Binary Relations by Bas Ketsman, Dan Suciu, Yufei Tao

“…We present a constant-round algorithm in the massively parallel computation (MPC) model for evaluating a natural join where every input relation has two attributes. …”
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Neuromorphic computing based on halide perovskites by Vasilopoulou, Maria, Mohd. Yusoff, Abd. Rashid, Chai, Yang, Kourtis, Michael Alexandros, Matsushima, Toshinori, Gasparini, Nicola, Du, Rose, Gao, Feng, Nazeeruddin, Mohammad Khaja, Anthopoulos, Thomas D., Noh, Yong Young

“…Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. …”

Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space by Dominik Bendle, Janko Böhm, Wolfram Decker, Alessandro Georgoudis, Franz-Josef Pfreundt, Mirko Rahn, Pascal Wasser, Yang Zhang

“…Abstract We introduce an algebro-geometrically motived integration-by-parts (IBP) re- duction method for multi-loop and multi-scale Feynman integrals, using a framework for massively parallel computations in computer algebra. This framework combines the com- puter algebra system Singular with the workflow management system GPI-Space, which are being developed at the TU Kaiserslautern and the Fraunhofer Institute for Industrial Mathematics (ITWM), respectively. …”
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PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform by Evelina Forno, Alessandro Salvato, Enrico Macii, Gianvito Urgese

“…To this end, the platform features massively parallel computation and an efficient communication infrastructure based on the transmission of small packets. …”
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A Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and Applications by Olimpiya Saha, Prithviraj Dasgupta

“…Cloud computing empowers robots by offering them faster and more powerful computational capabilities through massively parallel computation and higher data storage facilities. …”
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A Multi-Phase Based Multi-Application Mapping Approach for Many-Core Networks-on-Chip by Fen Ge, Chenchen Cui, Fang Zhou, Ning Wu

“…More and more attention is being paid to the use of massive parallel computing performed on many-core Networks-on-Chip (NoC) in order to accelerate performance. …”
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Deep Fisher networks for large-scale image classification by Simonyan, K, Vedaldi, A, Zisserman, A

“…As massively parallel computations have become broadly available with modern GPUs, deep architectures trained on very large datasets have risen in popularity. …”