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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”

FOCUS: fast Monte Carlo approach to coherence of undulator sources by M. Siano, G. Geloni, B. Paroli, D. Butti, T. Lefèvre, S. Mazzoni, G. Trad, U. Iriso, A. A. Nosych, L. Torino, M. A. C. Potenza

“…The core structure of the code, which is written in the language C++ accelerated with CUDA, combines an analytical description of the emitted electric fields and massively parallel computations on GPUs. The combination is rigorously justified by a statistical description of synchrotron radiation based on a Fourier optics approach. …”
Get full text

A GPU-accelerated parallel shooting algorithm for analysis of radio frequency and microwave integrated circuits by Liu, Xue-Xin, Yu, Hao, Tan, Sheldon X.-D.

“…The resulting periodic Arnoldi shooting method is very amenable for massive parallel computing, such as GPUs. Second, the periodic Arnoldi-based GMRES solver in the shooting-Newton method is parallelized on the recent NVIDIA Tesla GPU platforms. …”
Get full text
Get full text

Multi-scale computational modelling in biology and physiology. by Southern, J, Pitt-Francis, J, Whiteley, J, Stokeley, D, Kobashi, H, Nobes, R, Kadooka, Y, Gavaghan, D

“…As even more complex models are developed over the coming few years, it will be necessary to develop new methods to model them (in particular in coupling across the interface between stochastic and deterministic processes) and new techniques will be required to compute their solutions efficiently on massively parallel computers. We outline how we envisage these developments occurring.…”

Unconstraint assignment problem : a molecular computing approach by Zuwairie, Ibrahim, Yusei, Tsuboi, Osamu, Ono, Marzuki, Khalid

“…During the massively parallel computation in atest tube, a series of bio-molecular reactions are employed and the output encoded also by DNA molecules can be printed andread out by electrophoretical fluorescent method. …”

Simulation of a novel multiprocessor system based on dataflow principles by Zhou, Mo, S.M. Massachusetts Institute of Technology

Get full text

MemCA: All-Memristor Design for Deterministic and Probabilistic Cellular Automata Hardware Realization by Vasileios Ntinas, Iosif-Angelos Fyrigos, Rafailia-Eleni Karamani, Nikolaos Vasileiadis, Panagiotis Dimitrakis, Antonio Rubio, Georgios Ch. Sirakoulis

“…Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding long-distance information transfer of conventional computers by the massive parallel computation performed by a set of locally-coupled dynamical nodes. …”
Get full text

TCN enhanced novel malicious traffic detection for IoT devices by Liu Xin, Liu Ziang, Zhang Yingli, Zhang Wenqiang, Lv Dong, Zhou Qingguo

“…Time Convolutional Network (TCN) is a high-speed neural network suitable for massively parallel computation. In this paper, we propose Multi-class S-TCN, an improved network supporting multiple classifications based on TCN for the practical needs of IoT scenarios. …”
Get full text