A Parallel Evolutionary Computing-Embodied Artificial Neural Network Applied to Non-Intrusive Load Monitoring for Demand-Side Management in a Smart Home: Towards Deep Learning by Yu-Hsiu Lin

“…The parallel GA that involves iterations to excessively cost its execution time for evolving an ANN learning model from massive training samples to NILM in the HEMS and works in a divide-and-conquer manner that can exploit massively parallel computing for evolving an ANN and, thus, reduce execution time drastically. …”
Get full text

Large-Scale Data Computing Performance Comparisons on SYCL Heterogeneous Parallel Processing Layer Implementations by Woosuk Shin, Kwan-Hee Yoo, Nakhoon Baek

“…Our analysis is available for fundamental measurements of the abstract-level cost-effective use of massively parallel computations, especially for big-data applications.…”
Get full text

Scheduling and 2D placement heuristics for partially reconfigurable systems by Santambrogio, Marco Domenico, Redaelli, F., Rana, V., Ogrenci Memik, S.

“…Together they form a complete set of techniques to serve partial dynamic reconfiguration of massively parallel computing systems.…”
Get full text

Kohn–Sham time-dependent density functional theory with Tamm–Dancoff approximation on massively parallel GPUs by Inkoo Kim, Daun Jeong, Won-Joon Son, Hyung-Jin Kim, Young Min Rhee, Yongsik Jung, Hyeonho Choi, Jinkyu Yim, Inkook Jang, Dae Sin Kim

“…Our algorithm on massively parallel computing systems using multiple parallel models in tandem scales optimally with material size, considerably reducing the computational wall time. …”
Get full text

Statistical evaluation of fracture of inclusions in cast aluminum alloy by massively-parallel voxel finite element analysis and geometrical measurements by Masaki TERANISHI, Osamu KUWAZURU, Masakazu KOBAYASHI, Hiroyuki TODA

“…The finite element analysis and its post-processing were performed on the supercomputers by the massively-parallel computing. The result of finite element analysis showed that the first principal stress was concentrated around the aligned or gathered Si particles, and the gradual increase by cyclic loading in the stress of the Si particles appeared near the outer surface and pores. …”
Get full text

Impact of HPC and Automated CFD Simulation Processes on Virtual Product Development—A Case Study by Christopher Lange, Patrick Barthelmäs, Tobias Rosnitschek, Stephan Tremmel, Frank Rieg

“…High-performance computing (HPC) enables both academia and industry to accelerate simulation-driven product development processes by providing a massively parallel computing infrastructure. In particular, the automation of high-fidelity computational fluid dynamics (CFD) analyses aided by HPC systems can be beneficial since computing time decreases while the number of significant design iterations increases. …”
Get full text

Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity by Johannes Bill, Johannes Bill, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass, Karlheinz Meier

“…Recent developments in neuromorphic hardware engineering make mixed-signal VLSI neural network models promising candidates for neuroscientific research tools and massively parallel computing devices, especially for tasks which exhaust the computing power of software simulations. …”
Get full text

Large-scale micromagnetics simulations with dipolar interaction using all-to-all communications by Hiroshi Tsukahara, S.-J. Lee, Kaoru Iwano, Nobuhito Inami, Tadashi Ishikawa, Chiharu Mitsumata, Hideto Yanagihara, Eiji Kita, Kanta Ono

“…This high parallelization effect enables large-scale micromagentics simulation using over one billion to be performed. Because massively parallel computing is needed to simulate the magnetization dynamics of real permanent magnets composed of many micron-sized grains, it is expected that our simulator reveals how magnetization dynamics influences the coercivity of the permanent magnet.…”
Get full text

Mate selection: A useful approach to maximize genetic gain and control inbreeding in genomic and conventional oil palm (Elaeis guineensis Jacq.) hybrid breeding. by Billy Tchounke, Leopoldo Sanchez, Joseph Martin Bell, David Cros

“…Here, we investigated this aspect with forward genetic simulations on a high-performance computing cluster and massively parallel computing, considering the oil palm hybrid breeding example. …”
Get full text

Fusion materials modeling: Challenges and opportunities by Wirth, B. D., Nordlund, K., Xu, D., Whyte, Dennis G

“…Fortunately, recent innovations in computational modeling techniques, increasingly powerful high-performance and massively parallel computing platforms, and improved analytical experimental characterization tools provide the means to develop self-consistent, experimentally validated models of materials performance and degradation in the fusion energy environment. …”
Get full text
Get full text

ReS²tAC—UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices by Boitumelo Ruf, Jonas Mohrs, Martin Weinmann, Stefan Hinz, Jürgen Beyerer

“…In this, we propose an optimization of the algorithm for embedded CUDA GPUs, by using massively parallel computing, as well as using the NEON intrinsics to optimize the algorithm for vectorized SIMD processing on embedded ARM CPUs. …”
Get full text

Learning in colloidal polyaniline nanorods by Alessandro Chiolerio, Erik Garofalo, Neil Phillips, Ermelinda Falletta, Rodrigo de Oliveira, Andrew Adamatzky

“…Liquid-based computing media are massively parallel computing devices with high fault-tolerance and self-healing capabilities. …”
Get full text

The ICON-1.2 hydrostatic atmospheric dynamical core on triangular grids – Part 1: Formulation and performance of the baseline version by H. Wan, M. A. Giorgetta, G. Zängl, M. Restelli, D. Majewski, L. Bonaventura, K. Fröhlich, D. Reinert, P. Rípodas, L. Kornblueh, J. Förstner

“…Based on the need for mass-conserving discretizations for multi-resolution modelling as well as scalability and efficiency on massively parallel computing architectures, the dynamical core is built on triangular C-grids using relatively small discretization stencils. …”
Get full text

As good as it gets: a scaling comparison of DNA computing, network biocomputing, and electronic computing approaches to an NP-complete problem by Ayyappasamy Sudalaiyadum Perumal, Zihao Wang, Giulia Ippoliti, Falco C M J M van Delft, Lila Kari, Dan V Nicolau

“…Since electronic computers can implement only limited parallelism, their use for solving NP-complete problems is impractical for very large instances, and consequently alternative massively parallel computing approaches were proposed to address this challenge. …”
Get full text

Preparation of MXene-based hybrids and their application in neuromorphic devices by Zhuohao Xiao, Xiaodong Xiao, Ling Bing Kong, Hongbo Dong, Xiuying Li, Bin He, Shuangchen Ruan, Jianpang Zhai, Kun Zhou, Qin Huang, Liang Chu

“…Neuromorphic computing systems, with massively parallel computing capability and low power consumption, have been considered as an ideal option for data storage and AI computing in the future. …”
Get full text

Forward engineering object recognition : a scalable approach by Pinto, Nicolas

Get full text

GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications by S. D. Eastham, S. D. Eastham, M. S. Long, C. A. Keller, C. A. Keller, E. Lundgren, R. M. Yantosca, J. Zhuang, C. Li, C. J. Lee, M. Yannetti, B. M. Auer, B. M. Auer, T. L. Clune, J. Kouatchou, J. Kouatchou, W. M. Putman, M. A. Thompson, M. A. Thompson, A. L. Trayanov, A. L. Trayanov, A. M. Molod, R. V. Martin, R. V. Martin, D. J. Jacob

“…However, they have generally not been designed to take advantage of massively parallel computing architectures. Here, we develop such a high-performance capability for GEOS-Chem (GCHP), a CTM driven by meteorological data from the NASA Goddard Earth Observation System (GEOS) and used by hundreds of research groups worldwide. …”
Get full text

Dynamic communication performance of a TESH network under the nonuniform traffic patterns by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Sato, Yukinori, Miura, Yasuyuki, 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 computer systems. …”
Get full text

Dynamic communication performance of the TESH network under nonuniform traffic patterns by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Sato, Yukinori, Miura, Yasuyuki, Horiguchi, Susumu

“…Interconnection networks play a crucial role in the performance of massively parallel computer systems. Hierarchical interconnection networks provide high performance at low cost by exploring the locality that exists in the communication patterns of massively parallel computer systems. …”
Get full text

High performance hierarchical torus network under matrix transpose traffic patterns by Rahman, M.M. Hafizur, Susumu, Horiguchi

“…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