Search Results - distributed and ((parallel computation) OR (parallel computing))

A hybrid MPI–OpenMP scheme for scalable parallel pseudospectral computations for fluid turbulence by Mininni, Pablo D., Rosenberg, Duane, Reddy, Raghu, Pouquet, Annick

“…► A two-level hybrid OpenMP/MPI parallelization scheme is presented for pseudospectral computations of fluid turbulence…”
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Design of parallel computing system for embedded network distributed load tasks by Huang, Heqing, Xu, Xiaohui, Tang, Chunling

“…Parallel computing is a type of computational construction in which multiple processors perform multiple small calculations at once and a whole large and complex set of problems…”
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Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs by Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

“…Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt computing-intensive algorithms on large-scale graphs…”
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BSF: A parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems by Sokolinsky, Leonid B.

“…This paper examines a novel parallel computation model called bulk synchronous farm (BSF…”
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MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems by Hsia, Samuel, Golden, Alicia, Acun, Bilge, Ardalani, Newsha, DeVito, Zachary, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean

“…Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs…”
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Dynamics of parallel manipulators with hybrid complex limbs — Modular modeling and parallel computing by Müller, Andreas

“…Parallel manipulators, also called parallel kinematics machines (PKM), enable robotic solutions for highly dynamic handling and machining applications…”
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pSyncPIM: Partially Synchronous Execution of Sparse Matrix Operations for All-Bank PIM Architectures by Baek, Daehyeon, Hwang, Soojin, Huh, Jaehyuk

“… Such a synchronized all-bank PIM control can effectively manage conventional dense matrix-vector operations on evenly distributed matrices across banks with lock-step execution…”
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Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics by Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Jatala, Vishwesh, Pingali, Keshav, Nandivada, V. Krishna, Dang, Hoang-Vu, Snir, Marc

“…Distributed graph analytics systems for CPUs, like D-Galois and Gemini, and for GPUs, like D-IrGL and Lux, use a bulk-synchronous parallel (BSP…”
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Parallel Computation of Component Trees on Distributed Memory Machines by Gotz, Markus, Cavallaro, Gabriele, Geraud, Thierry, Book, Matthias, Riedel, Morris

“… This work proposes a new efficient hybrid algorithm for the parallel computation of two particular component trees-the max- and min-tree-in shared and distributed memory environments…”
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NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System by Jiang, Qingcai, Tu, Buxin, Hao, Xiaoyu, Chen, Junshi, An, Hong

“…Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical…”
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SparkDQ: Efficient generic big data quality management on distributed data-parallel computation by Gu, Rong, Qi, Yang, Wu, Tongyu, Wang, Zhaokang, Xu, Xiaolong, Yuan, Chunfeng, Huang, Yihua

“…•A generic big data quality model and programming framework.•A set of distributed data-parallel quality management algorithms…”
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A Hierarchical Parallel Computation Method for Radio Fuze Echo Signal Simulation by Chen Tanhui, Huo Lijun, Li Zhe

“…In order to improve the efficiency of radio fuze echo signal simulation processing large-scale data, a layered parallel computing method based on a distributed platform is proposed, and a radio fuze…”
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SeeMore: A kinetic parallel computer sculpture for educating broad audiences on parallel computation by Li, Bo, Mooring, John, Blanchard, Sam, Johri, Aditya, Leko, Melinda, Cameron, Kirk W.

“…, and importance of parallel computation. The algorithms and interfaces were implemented by students from various related courses at VA Tech…”
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ZAKI: A Smart Method and Tool for Automatic Performance Optimization of Parallel SpMV Computations on Distributed Memory Machines by Usman, Sardar, Mehmood, Rashid, Katib, Iyad, Albeshri, Aiiad, Altowaijri, Saleh M.

“…SpMV is a vital computing operation of many scientific, engineering, economic and social applications, increasingly being used to develop timely intelligence for the design and management of smart societies…”
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Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From University of Washington by Liu, David, Cinnamon, Matthew, Garvin, Thorne, Karavanov, Andrei, Park, Sungchan, Strobeck, Darius, Lumsdaine, Andrew

“…One of the tasks for the SC19 Student Cluster Competition is to reproduce the results in the reproducibility challenge article "Computing Planetary Interior Normal Modes with a Highly Parallel…”
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Vectorized and Parallel Computation of Large Smooth-Degree Isogenies using Precedence-Constrained Scheduling by Kittiphon Phalakarn, Vorapong Suppakitpaisarn, Francisco Rodríguez-Henríquez, M.A. Hasan

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Parallel Attribute Computation for Distributed Component Forests by Gazagnes, Simon, Wilkinson, Michael H.F.

“… In this paper, we extend a recent method using distributed memory techniques to enable posterior attribute computation in a parallel or distributed manner…”
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Parallel distributed computing using Python by Dalcin, Lisandro D., Paz, Rodrigo R., Kler, Pablo A., Cosimo, Alejandro

“…► We present two packages for parallel distributed computing with Python. ► MPI for Python (mpi4py) provides bindings for the MPI standard…”
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KLA: A new algorithmic paradigm for parallel graph computations by Harshvardhan, Fidel, Adam, Amato, Nancy M., Rauchwerger, Lawrence

“… The KLA paradigm enables the level of asynchrony in parallel graph algorithms to be parametrically varied from none (level-synchronous) to full (asynchronous…”
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Load Balancing and Parallel Computation Model for Performance and Accuracy over the Cluster of Nodes by Sheetal, Annabathula Phani, Bhima, Ravi Teja, Karampudi, Radha, Prasad, Srisailapu D. Vara

“… Large-scale heterogeneous distributed computing surroundings give the assurance of usage of a huge quantity of computing tools in a comparatively low price…”
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